ADAM_2.12: Core 0.32.0 API < Back
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# Packages

-  package root
  Definition Classes
    root
-  package org
  Definition Classes
    root
-  package bdgenomics
  Definition Classes
    org
-  package adam
  Definition Classes
    bdgenomics
-  package rdd
  Definition Classes
    adam
-  package variant
  Definition Classes
    rdd
- ADAMVCFOutputFormat
- DatasetBoundGenotypeDataset
- DatasetBoundVariantContextDataset
- DatasetBoundVariantDataset
- GenotypeDataset
- ParquetUnboundGenotypeDataset
- ParquetUnboundVariantDataset
- RDDBoundGenotypeDataset
- RDDBoundVariantContextDataset
- RDDBoundVariantDataset
- VCFInFormatter
- VCFOutFormatter
- VariantContextDataset
- VariantDataset

c

org.bdgenomics.adam.rdd.variant

# RDDBoundVariantDataset 

###

#### case class RDDBoundVariantDataset extends VariantDataset with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, VariantDataset, VCFSupportingGenomicDataset[Variant, Variant, VariantDataset], AvroGenomicDataset[Variant, Variant, VariantDataset], GenomicDataset[Variant, Variant, VariantDataset], Logging, AnyRef, Any
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1. RDDBoundVariantDataset
2. Serializable
3. Serializable
4. Product
5. Equals
6. VariantDataset
7. VCFSupportingGenomicDataset
8. AvroGenomicDataset
9. GenomicDataset
10. Logging
11. AnyRef
12. Any

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2. All

### Value Members

1.  final def !=(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
2.  final def ##(): Int
   Definition Classes
     AnyRef → Any
3.  final def ==(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
4.  def addAllAlleleArrayFormatHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

   Adds a VCF header line describing an 'R' array format field.

   Adds a VCF header line describing an 'R' array format field.

   This adds a format field that is an array whose length is equal to the total number of alleles (including the reference allele) for the genotype we are annotating.

   id

     The identifier for the field.

   description

     A description of the data stored in this format field.

   lineType

     The type of the data stored in this format field.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
5.  def addAllAlleleArrayInfoHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

   Adds a VCF header line describing an 'R' array info field.

   Adds a VCF header line describing an 'R' array info field.

   This adds a info field that is an array whose length is equal to the total number of alleles (including the reference allele) for the genotype we are annotating.

   id

     The identifier for the field.

   description

     A description of the data stored in this info field.

   lineType

     The type of the data stored in this info field.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
6.  def addAlternateAlleleArrayFormatHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

   Adds a VCF header line describing an 'A' array format field.

   Adds a VCF header line describing an 'A' array format field.

   This adds a format field that is an array whose length is equal to the number of alternate alleles for the genotype we are annotating.

   id

     The identifier for the field.

   description

     A description of the data stored in this format field.

   lineType

     The type of the data stored in this format field.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
7.  def addAlternateAlleleArrayInfoHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

   Adds a VCF header line describing an 'A' array info field.

   Adds a VCF header line describing an 'A' array info field.

   This adds a info field that is an array whose length is equal to the number of alternate alleles for the genotype we are annotating.

   id

     The identifier for the field.

   description

     A description of the data stored in this info field.

   lineType

     The type of the data stored in this info field.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
8.  def addFilterHeaderLine(id: String, description: String): VariantDataset

   Adds a VCF header line describing a variant/genotype filter.

   Adds a VCF header line describing a variant/genotype filter.

   id

     The identifier for the filter.

   description

     A description of the filter.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
9.  def addFixedArrayFormatHeaderLine(id: String, count: Integer, lineType: VCFHeaderLineType, description: String): VariantDataset

   (Java-specific) Adds a VCF header line describing an array format field, with fixed count.

   (Java-specific) Adds a VCF header line describing an array format field, with fixed count.

   id

     The identifier for the field.

   count

     The number of elements in the array.

   lineType

     The type of the data stored in this format field.

   description

     A description of the data stored in this format field.

   returns

     A new genomic dataset with the new header line added.

   Definition Classes
     VCFSupportingGenomicDataset
10.  def addFixedArrayFormatHeaderLine(id: String, count: Int, description: String, lineType: VCFHeaderLineType): VariantDataset

    (Scala-specific) Adds a VCF header line describing an array format field, with fixed count.

    (Scala-specific) Adds a VCF header line describing an array format field, with fixed count.

    id

      The identifier for the field.

    count

      The number of elements in the array.

    description

      A description of the data stored in this format field.

    lineType

      The type of the data stored in this format field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
11.  def addFixedArrayInfoHeaderLine(id: String, count: Integer, lineType: VCFHeaderLineType, description: String): VariantDataset

    (Java-specific) Adds a VCF header line describing an array info field, with fixed count.

    (Java-specific) Adds a VCF header line describing an array info field, with fixed count.

    id

      The identifier for the field.

    count

      The number of elements in the array.

    lineType

      The type of the data stored in this info field.

    description

      A description of the data stored in this info field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
12.  def addFixedArrayInfoHeaderLine(id: String, count: Int, description: String, lineType: VCFHeaderLineType): VariantDataset

    (Scala-specific) Adds a VCF header line describing an array info field, with fixed count.

    (Scala-specific) Adds a VCF header line describing an array info field, with fixed count.

    id

      The identifier for the field.

    count

      The number of elements in the array.

    description

      A description of the data stored in this info field.

    lineType

      The type of the data stored in this info field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
13.  def addGenotypeArrayFormatHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

    Adds a VCF header line describing an 'G' array format field.

    Adds a VCF header line describing an 'G' array format field.

    This adds a format field that is an array whose length is equal to the number of genotypes for the genotype we are annotating.

    id

      The identifier for the field.

    description

      A description of the data stored in this format field.

    lineType

      The type of the data stored in this format field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
14.  def addHeaderLine(headerLineToAdd: VCFHeaderLine): VariantDataset

    Appends a new header line to the existing lines.

    Appends a new header line to the existing lines.

    headerLineToAdd

      A header line to add.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
15.  def addHeaderLines(headerLinesToAdd: Seq[VCFHeaderLine]): VariantDataset

    Appends new header lines to the existing lines.

    Appends new header lines to the existing lines.

    headerLinesToAdd

      Zero or more header lines to add.

    returns

      A new genomic dataset with the new header lines added.

    Definition Classes
      VCFSupportingGenomicDataset
16.  def addScalarFormatHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

    Adds a VCF header line describing a scalar format field.

    Adds a VCF header line describing a scalar format field.

    id

      The identifier for the field.

    description

      A description of the data stored in this format field.

    lineType

      The type of the data stored in this format field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
17.  def addScalarInfoHeaderLine(id: String, description: String, lineType: VCFHeaderLineType): VariantDataset

    Adds a VCF header line describing a scalar info field.

    Adds a VCF header line describing a scalar info field.

    id

      The identifier for the field.

    description

      A description of the data stored in this info field.

    lineType

      The type of the data stored in this info field.

    returns

      A new genomic dataset with the new header line added.

    Definition Classes
      VCFSupportingGenomicDataset
18.  def addSequence(sequenceToAdd: SequenceRecord): VariantDataset

    Appends metadata for a single sequence to the current genomic dataset.

    Appends metadata for a single sequence to the current genomic dataset.

    sequenceToAdd

      The sequence to add.

    returns

      Returns a new GenomicDataset with this sequence appended.

    Definition Classes
      GenomicDataset
19.  def addSequences(sequencesToAdd: SequenceDictionary): VariantDataset

    Appends sequence metadata to the current genomic dataset.

    Appends sequence metadata to the current genomic dataset.

    sequencesToAdd

      The new sequences to append.

    returns

      Returns a new GenomicDataset with the sequences appended.

    Definition Classes
      GenomicDataset
20.  final def asInstanceOf[T0]: T0
    Definition Classes
      Any
21.  def broadcast()(implicit tTag: ClassTag[Variant]): GenomicBroadcast[Variant, Variant, VariantDataset]
    Definition Classes
      GenomicDataset
22.  def broadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], txTag: ClassTag[(Variant, X)], uyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Y)]): GenericGenomicDataset[(Variant, X), (Variant, Y)]

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainst

23.  def broadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], txTag: ClassTag[(Variant, X)], uyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Y)]): GenericGenomicDataset[(Variant, X), (Variant, Y)]

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainst

24.  def broadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Variant, X), (Variant, Y)]

    (Java-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    (Java-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
25.  def broadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Variant, X), (Variant, Y)]

    (R-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    (R-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
26.  def broadcastRegionJoinAgainst[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](broadcast: GenomicBroadcast[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], uyTag: scala.reflect.api.JavaUniverse.TypeTag[(Y, Variant)]): GenericGenomicDataset[(X, Variant), (Y, Variant)]

    Performs a broadcast inner join between this genomic dataset and data that has been broadcast.

    Performs a broadcast inner join between this genomic dataset and data that has been broadcast.

    In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped. As compared to broadcastRegionJoin, this function allows the broadcast object to be reused across multiple joins.

    broadcast

      The data on the left side of the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    Note

      This function differs from other region joins as it treats the calling genomic dataset as the right side of the join, and not the left.

    See also

      broadcastRegionJoin

27.  def broadcastRegionJoinAgainstAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](broadcast: GenomicBroadcast[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], syuTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Y], Variant)]): GenericGenomicDataset[(Iterable[X], Variant), (Seq[Y], Variant)]

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped. As compared to broadcastRegionJoin, this function allows the broadcast object to be reused across multiple joins.

    broadcast

      The data on the left side of the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    Note

      This function differs from other region joins as it treats the calling genomic dataset as the right side of the join, and not the left.

    See also

      broadcastRegionJoinAndGroupByRight

28.  def broadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], itxTag: ClassTag[(Iterable[Variant], X)], iuyTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Variant], Y)]): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainstAndGroupByRight

29.  def broadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], itxTag: ClassTag[(Iterable[Variant], X)], iuyTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Variant], Y)]): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainstAndGroupByRight

30.  def broadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

    (Java-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    (Java-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainstAndGroupByRight

31.  def broadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

    (R-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    (R-specific) Performs a broadcast inner join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

    Definition Classes
      GenomicDataset
    See also

      broadcastRegionJoinAgainstAndGroupByRight

32.  def buildTree(rdd: RDD[(ReferenceRegion, Variant)])(implicit tTag: ClassTag[Variant]): IntervalArray[ReferenceRegion, Variant]
    Attributes
      protected
    Definition Classes
      VariantDataset → GenomicDataset
33.  def cache(): VariantDataset

    Caches underlying RDD in memory.

    Caches underlying RDD in memory.

    returns

      Cached GenomicDataset.

    Definition Classes
      GenomicDataset
34.  def clone(): AnyRef
    Attributes
      protected[java.lang]
    Definition Classes
      AnyRef
    Annotations
      @native() @throws( ... )
35.  lazy val dataset: Dataset[Variant]

    A SQL Dataset of reads.

    A SQL Dataset of reads.

    Definition Classes
      RDDBoundVariantDataset → GenomicDataset
36.  def debug(mkr: Marker, msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
37.  def debug(msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
38.  def debug(msg: ⇒ Any): Unit
    Attributes
      protected
    Definition Classes
      Logging
39.  final def eq(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
40.  def error(mkr: Marker, msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
41.  def error(msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
42.  def error(msg: ⇒ Any): Unit
    Attributes
      protected
    Definition Classes
      Logging
43.  def filterByOverlappingRegion(query: ReferenceRegion): VariantDataset

    Runs a filter that selects data in the underlying RDD that overlaps a single genomic region.

    Runs a filter that selects data in the underlying RDD that overlaps a single genomic region.

    query

      The region to query for.

    returns

      Returns a new GenomicDataset containing only data that overlaps the query region.

    Definition Classes
      GenomicDataset
44.  def filterByOverlappingRegions(querys: Iterable[ReferenceRegion]): VariantDataset

    (Java-specific) Runs a filter that selects data in the underlying RDD that overlaps several genomic regions.

    (Java-specific) Runs a filter that selects data in the underlying RDD that overlaps several genomic regions.

    querys

      The regions to query for.

    returns

      Returns a new GenomicDataset containing only data that overlaps the querys region.

    Definition Classes
      GenomicDataset
45.  def filterByOverlappingRegions(querys: Iterable[ReferenceRegion]): VariantDataset

    (Scala-specific) Runs a filter that selects data in the underlying RDD that overlaps several genomic regions.

    (Scala-specific) Runs a filter that selects data in the underlying RDD that overlaps several genomic regions.

    querys

      The regions to query for.

    returns

      Returns a new GenomicDataset containing only data that overlaps the querys region.

    Definition Classes
      GenomicDataset
46.  def filterByQuality(minimumQuality: Double): VariantDataset

    Filter this VariantDataset by quality (VCF column 6 "QUAL").

    Filter this VariantDataset by quality (VCF column 6 "QUAL"). Variants split for multi-allelic sites will also be filtered out.

    minimumQuality

      Minimum quality to filter by, inclusive.

    returns

      VariantDataset filtered by quality.

    Definition Classes
      VariantDataset
47.  def filterByReadDepth(minimumReadDepth: Int): VariantDataset

    Filter this VariantDataset by total read depth (VCF INFO reserved key AD, Number=R, split for multi-allelic sites into single integer values for the reference allele (`filterByReferenceReadDepth`) and the alternate allele (this method)).

    Filter this VariantDataset by total read depth (VCF INFO reserved key AD, Number=R, split for multi-allelic sites into single integer values for the reference allele (`filterByReferenceReadDepth`) and the alternate allele (this method)).

    minimumReadDepth

      Minimum total read depth to filter by, inclusive.

    returns

      VariantDataset filtered by total read depth.

    Definition Classes
      VariantDataset
48.  def filterByReferenceReadDepth(minimumReferenceReadDepth: Int): VariantDataset

    Filter this VariantDataset by reference total read depth (VCF INFO reserved key AD, Number=R, split for multi-allelic sites into single integer values for the alternate allele (`filterByReadDepth`) and the reference allele (this method)).

    Filter this VariantDataset by reference total read depth (VCF INFO reserved key AD, Number=R, split for multi-allelic sites into single integer values for the alternate allele (`filterByReadDepth`) and the reference allele (this method)).

    minimumReferenceReadDepth

      Minimum reference total read depth to filter by, inclusive.

    returns

      VariantDataset filtered by reference total read depth.

    Definition Classes
      VariantDataset
49.  def filterIndels(): VariantDataset

    Filter insertions and deletions (indels) from this VariantDataset.

    Filter insertions and deletions (indels) from this VariantDataset.

    returns

      VariantDataset filtered to remove insertions and deletions (indels).

    Definition Classes
      VariantDataset
50.  def filterMultipleNucleotideVariants(): VariantDataset

    Filter multiple nucleotide variants (MNPs) from this VariantDataset.

    Filter multiple nucleotide variants (MNPs) from this VariantDataset.

    returns

      VariantDataset filtered to remove multiple nucleotide variants (MNPs).

    Definition Classes
      VariantDataset
51.  def filterSingleNucleotideVariants(): VariantDataset

    Filter single nucleotide variants (SNPs) from this VariantDataset.

    Filter single nucleotide variants (SNPs) from this VariantDataset.

    returns

      VariantDataset filtered to remove single nucleotide variants (SNPs).

    Definition Classes
      VariantDataset
52.  def filterToFiltersPassed(): VariantDataset

    Filter this VariantDataset to filters passed (VCF column 7 "FILTER" value PASS).

    Filter this VariantDataset to filters passed (VCF column 7 "FILTER" value PASS).

    returns

      VariantDataset filtered to filters passed.

    Definition Classes
      VariantDataset
53.  def filterToIndels(): VariantDataset

    Filter this VariantDataset to include only insertions and deletions (indels).

    Filter this VariantDataset to include only insertions and deletions (indels).

    returns

      VariantDataset filtered to include only insertions and deletions (indels).

    Definition Classes
      VariantDataset
54.  def filterToMultipleNucleotideVariants(): VariantDataset

    Filter this VariantDataset to include only multiple nucleotide variants (MNPs).

    Filter this VariantDataset to include only multiple nucleotide variants (MNPs).

    returns

      VariantDataset filtered to include only multiple nucleotide variants (MNPs).

    Definition Classes
      VariantDataset
55.  def filterToSingleNucleotideVariants(): VariantDataset

    Filter this VariantDataset to include only single nucleotide variants (SNPs).

    Filter this VariantDataset to include only single nucleotide variants (SNPs).

    returns

      VariantDataset filtered to include only single nucleotide variants (SNPs).

    Definition Classes
      VariantDataset
56.  def finalize(): Unit
    Attributes
      protected[java.lang]
    Definition Classes
      AnyRef
    Annotations
      @throws( classOf[java.lang.Throwable] )
57.  def flattenRddByRegions(): RDD[(ReferenceRegion, Variant)]
    Attributes
      protected
    Definition Classes
      GenomicDataset
58.  def fullOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otoxTag: ClassTag[(Option[Variant], Option[X])], ouoyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Option[Y])]): GenericGenomicDataset[(Option[Variant], Option[X]), (Option[Variant], Option[Y])]

    Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a full outer join, if a value from either genomic dataset does not overlap any values in the other genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and values that did not overlap will be paired with a `None`.

    Definition Classes
      GenomicDataset
59.  def fullOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otoxTag: ClassTag[(Option[Variant], Option[X])], ouoyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Option[Y])]): GenericGenomicDataset[(Option[Variant], Option[X]), (Option[Variant], Option[Y])]

    Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a full outer join, if a value from either genomic dataset does not overlap any values in the other genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and values that did not overlap will be paired with a `None`.

    Definition Classes
      GenomicDataset
60.  def fullOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Option[Variant], Option[X]), (Option[Variant], Option[Y])]

    (Python-specific) Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    (Python-specific) Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a full outer join, if a value from either genomic dataset does not overlap any values in the other genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and values that did not overlap will be paired with a `None`.

    Definition Classes
      GenomicDataset
61.  def fullOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Option[Variant], Option[X]), (Option[Variant], Option[Y])]

    (R-specific) Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    (R-specific) Performs a sort-merge full outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a full outer join, if a value from either genomic dataset does not overlap any values in the other genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and values that did not overlap will be paired with a `None`.

    Definition Classes
      GenomicDataset
62.  final def getClass(): Class[_]
    Definition Classes
      AnyRef → Any
    Annotations
      @native()
63.  def getReferenceRegions(elem: Variant): Seq[ReferenceRegion]

    elem

      The variant to get a reference region for.

    returns

      Returns the singular region this variant covers.

    Attributes
      protected
    Definition Classes
      VariantDataset → GenomicDataset
64.  val headerLines: Seq[VCFHeaderLine]
    Definition Classes
      RDDBoundVariantDataset → VCFSupportingGenomicDataset
65.  def info(mkr: Marker, msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
66.  def info(msg: ⇒ Any, t: ⇒ Throwable): Unit
    Attributes
      protected
    Definition Classes
      Logging
67.  def info(msg: ⇒ Any): Unit
    Attributes
      protected
    Definition Classes
      Logging
68.  def isDebugEnabled: Boolean
    Attributes
      protected
    Definition Classes
      Logging
69.  def isErrorEnabled: Boolean
    Attributes
      protected
    Definition Classes
      Logging
70.  def isInfoEnabled: Boolean
    Attributes
      protected
    Definition Classes
      Logging
71.  final def isInstanceOf[T0]: Boolean
    Definition Classes
      Any
72.  def isSorted: Boolean
    Definition Classes
      GenomicDataset
73.  def isTraceEnabled: Boolean
    Attributes
      protected
    Definition Classes
      Logging
74.  def isWarnEnabled: Boolean
    Attributes
      protected
    Definition Classes
      Logging
75.  lazy val jrdd: JavaRDD[Variant]

    The underlying RDD of genomic data, as a JavaRDD.

    The underlying RDD of genomic data, as a JavaRDD.

    Definition Classes
      GenomicDataset
76.  def leftOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], toxTag: ClassTag[(Variant, Option[X])], uoyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Option[Y])]): GenericGenomicDataset[(Variant, Option[X]), (Variant, Option[Y])]

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
77.  def leftOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], toxTag: ClassTag[(Variant, Option[X])], uoyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Option[Y])]): GenericGenomicDataset[(Variant, Option[X]), (Variant, Option[Y])]

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
78.  def leftOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Variant, Option[X]), (Variant, Option[Y])]

    (Java-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    (Java-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
79.  def leftOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Variant, Option[X]), (Variant, Option[Y])]

    (R-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    (R-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
80.  def leftOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], toxTag: ClassTag[(Variant, Iterable[X])], uiyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Seq[Y])]): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with an empty Iterable in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
81.  def leftOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], toxTag: ClassTag[(Variant, Iterable[X])], uiyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Seq[Y])]): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with an empty Iterable in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
82.  def leftOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

    (Java-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    (Java-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with an empty Iterable in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
83.  def leftOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

    (R-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    (R-specific) Performs a sort-merge left outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

    In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a left outer join, all values in the right genomic dataset that do not overlap a value from the left genomic dataset are dropped. If a value from the left genomic dataset does not overlap any values in the right genomic dataset, it will be paired with an empty Iterable in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    flankSize

      Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the left genomic dataset that did not overlap a key in the right genomic dataset.

    Definition Classes
      GenomicDataset
84.  def logger: Logger
    Attributes
      protected
    Definition Classes
      Logging
85.  def loggerName: String
    Attributes
      protected
    Definition Classes
      Logging
86.  final def ne(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
87.  final def notify(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native()
88.  final def notifyAll(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native()
89.  val optPartitionMap: Option[Array[Option[(ReferenceRegion, ReferenceRegion)]]]
    Definition Classes
      RDDBoundVariantDataset → GenomicDataset
90.  def persist(sl: StorageLevel): VariantDataset

    Persists underlying RDD in memory or disk.

    Persists underlying RDD in memory or disk.

    sl

      new StorageLevel

    returns

      Persisted GenomicDataset.

    Definition Classes
      GenomicDataset
91.  def pipe[X, Y <: Product, Z <: GenomicDataset[X, Y, Z], W <: InFormatter[Variant, Variant, VariantDataset, W]](cmd: List[String], files: List[String], environment: Map[String, String], flankSize: Integer, tFormatter: Class[W], xFormatter: OutFormatter[X], convFn: Function2[VariantDataset, RDD[X], Z]): Z

    (Java/Python-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    (Java/Python-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    X

      The type of the record created by the piped command.

    Y

      A GenomicDataset containing X's.

    cmd

      Command to run.

    files

      Files to make locally available to the commands being run. Default is empty.

    environment

      A map containing environment variable/value pairs to set in the environment for the newly created process. Default is empty.

    flankSize

      Number of bases to flank each command invocation by.

    tFormatter

      Class of formatter for data going into pipe command.

    xFormatter

      Formatter for data coming out of the pipe command.

    convFn

      The conversion function used to build the final genomic dataset.

    returns

      Returns a new GenomicDataset of type Y.

    Definition Classes
      GenomicDataset
92.  def pipe[X, Y <: Product, Z <: GenomicDataset[X, Y, Z], W <: InFormatter[Variant, Variant, VariantDataset, W]](cmd: Seq[Any], files: Seq[Any], environment: Map[Any, Any], flankSize: Double, tFormatter: Class[W], xFormatter: OutFormatter[X], convFn: Function2[VariantDataset, RDD[X], Z]): Z

    (R-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    (R-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    X

      The type of the record created by the piped command.

    Y

      A GenomicDataset containing X's.

    cmd

      Command to run.

    files

      Files to make locally available to the commands being run. Default is empty.

    environment

      A map containing environment variable/value pairs to set in the environment for the newly created process. Default is empty.

    flankSize

      Number of bases to flank each command invocation by.

    tFormatter

      Class of formatter for data going into pipe command.

    xFormatter

      Formatter for data coming out of the pipe command.

    convFn

      The conversion function used to build the final genomic dataset.

    returns

      Returns a new GenomicDataset of type Y.

    Definition Classes
      GenomicDataset
93.  def pipe[X, Y <: Product, Z <: GenomicDataset[X, Y, Z], W <: InFormatter[Variant, Variant, VariantDataset, W]](cmd: Seq[String], files: Seq[String] = Seq.empty, environment: Map[String, String] = Map.empty, flankSize: Int = 0, optTimeout: Option[Int] = None)(implicit tFormatterCompanion: InFormatterCompanion[Variant, Variant, VariantDataset, W], xFormatter: OutFormatter[X], convFn: (VariantDataset, RDD[X]) ⇒ Z, tManifest: ClassTag[Variant], xManifest: ClassTag[X]): Z

    (Scala-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    (Scala-specific) Pipes genomic data to a subprocess that runs in parallel using Spark.

    Files are substituted in to the command with a $x syntax. E.g., to invoke a command that uses the first file from the files Seq, use $0. To access the path to the directory where the files are copied, use $root.

    Pipes require the presence of an InFormatterCompanion and an OutFormatter as implicit values. The InFormatterCompanion should be a singleton whose apply method builds an InFormatter given a specific type of GenomicDataset. The implicit InFormatterCompanion yields an InFormatter which is used to format the input to the pipe, and the implicit OutFormatter is used to parse the output from the pipe.

    X

      The type of the record created by the piped command.

    Y

      A GenomicDataset containing X's.

    cmd

      Command to run.

    files

      Files to make locally available to the commands being run. Default is empty.

    environment

      A map containing environment variable/value pairs to set in the environment for the newly created process. Default is empty.

    flankSize

      Number of bases to flank each command invocation by.

    optTimeout

      An optional parameter specifying how long to let a single partition run for, in seconds. If the partition times out, the partial results will be returned, and no exception will be logged. The partition will log that the command timed out.

    returns

      Returns a new GenomicDataset of type Y.

    Definition Classes
      GenomicDataset
94.  val productFn: (Variant) ⇒ Variant
    Attributes
      protected
    Definition Classes
      VariantDataset → GenomicDataset
95.  val rdd: RDD[Variant]

    The RDD of genomic data that we are wrapping.

    The RDD of genomic data that we are wrapping.

    Definition Classes
      RDDBoundVariantDataset → GenomicDataset
96.  def replaceHeaderLines(newHeaderLines: Seq[VCFHeaderLine]): VariantDataset

    Replaces the header lines attached to this genomic dataset.

    Replaces the header lines attached to this genomic dataset.

    newHeaderLines

      The new header lines to attach to this genomic dataset.

    returns

      A new genomic dataset with the header lines replaced.

    Definition Classes
      RDDBoundVariantDataset → VCFSupportingGenomicDataset
97.  def replaceRdd(newRdd: RDD[Variant], newPartitionMap: Option[Array[Option[(ReferenceRegion, ReferenceRegion)]]] = None): VariantDataset

    newRdd

      An RDD to replace the underlying RDD with.

    returns

      Returns a new VariantDataset with the underlying RDD replaced.

    Attributes
      protected
    Definition Classes
      VariantDataset → GenomicDataset
98.  def replaceSequences(newSequences: SequenceDictionary): VariantDataset

    Replaces the sequence dictionary attached to a GenomicDataset.

    Replaces the sequence dictionary attached to a GenomicDataset.

    newSequences

      The new sequence dictionary to attach.

    returns

      Returns a new GenomicDataset with the sequences replaced.

    Definition Classes
      RDDBoundVariantDataset → GenomicDataset
99.  def rightOuterBroadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otxTag: ClassTag[(Option[Variant], X)], ouyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Y)]): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

    Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

    Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

    In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

    genomicDataset

      The right genomic dataset in the join.

    returns

      Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

    Definition Classes
      GenomicDataset
    See also

      rightOuterBroadcastRegionJoin

100.  def rightOuterBroadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otxTag: ClassTag[(Option[Variant], X)], ouyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Y)]): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
     See also

       rightOuterBroadcastRegionJoin

101.  def rightOuterBroadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     (Java-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     (Java-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
102.  def rightOuterBroadcastRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     (R-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     (R-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left genomic dataset (this genomic dataset) is collected to the driver, and broadcast to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
103.  def rightOuterBroadcastRegionJoinAgainst[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](broadcast: GenomicBroadcast[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], oyuTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Y], Variant)]): GenericGenomicDataset[(Option[X], Variant), (Option[Y], Variant)]

     Performs a broadcast right outer join between this genomic dataset and data that has been broadcast.

     Performs a broadcast right outer join between this genomic dataset and data that has been broadcast.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left table that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left table, it will be paired with a `None` in the product of the join. As compared to broadcastRegionJoin, this function allows the broadcast object to be reused across multiple joins.

     broadcast

       The data on the left side of the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
     Note

       This function differs from other region joins as it treats the calling genomic dataset as the right side of the join, and not the left.

     See also

       rightOuterBroadcastRegionJoin

104.  def rightOuterBroadcastRegionJoinAgainstAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](broadcast: GenomicBroadcast[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], syuTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Y], Variant)]): GenericGenomicDataset[(Iterable[X], Variant), (Seq[Y], Variant)]

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left table that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left table, it will be paired with a `None` in the product of the join. As compared to broadcastRegionJoin, this function allows the broadcast object to be reused across multiple joins.

     broadcast

       The data on the left side of the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
     Note

       This function differs from other region joins as it treats the calling genomic dataset as the right side of the join, and not the left.

     See also

       rightOuterBroadcastRegionJoinAndGroupByRight

105.  def rightOuterBroadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], itxTag: ClassTag[(Iterable[Variant], X)], iuyTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Variant], Y)]): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
     See also

       rightOuterBroadcastRegionJoinAgainstAndGroupByRight

106.  def rightOuterBroadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], itxTag: ClassTag[(Iterable[Variant], X)], iuyTag: scala.reflect.api.JavaUniverse.TypeTag[(Seq[Variant], Y)]): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
     See also

       rightOuterBroadcastRegionJoinAgainstAndGroupByRight

107.  def rightOuterBroadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

     (Java-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     (Java-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
     See also

       rightOuterBroadcastRegionJoinAgainstAndGroupByRight

108.  def rightOuterBroadcastRegionJoinAndGroupByRight[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Iterable[Variant], X), (Seq[Variant], Y)]

     (R-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     (R-specific) Performs a broadcast right outer join between this genomic dataset and another genomic dataset.

     In a broadcast join, the left side of the join (broadcastTree) is broadcast to to all the nodes in the cluster. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
     See also

       rightOuterBroadcastRegionJoinAgainstAndGroupByRight

109.  def rightOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otxTag: ClassTag[(Option[Variant], X)], ouyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Y)]): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
110.  def rightOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otxTag: ClassTag[(Option[Variant], X)], ouyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Y)]): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
111.  def rightOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     (Java-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     (Java-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
112.  def rightOuterShuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Option[Variant], X), (Option[Variant], Y)]

     (R-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     (R-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is a right outer join, all values in the left genomic dataset that do not overlap a value from the right genomic dataset are dropped. If a value from the right genomic dataset does not overlap any values in the left genomic dataset, it will be paired with a `None` in the product of the join.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, and all keys from the right genomic dataset that did not overlap a key in the left genomic dataset.

     Definition Classes
       GenomicDataset
113.  def rightOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otixTag: ClassTag[(Option[Variant], Iterable[X])], otsyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Seq[Y])]): GenericGenomicDataset[(Option[Variant], Iterable[X]), (Option[Variant], Seq[Y])]

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset. Since this is a right outer join, all values from the right genomic dataset who did not overlap a value from the left genomic dataset are placed into a length-1 Iterable with a `None` key.

     genomicDataset

       The right genomic dataset in the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset, and all values from the right genomic dataset that did not overlap an item in the left genomic dataset.

     Definition Classes
       GenomicDataset
114.  def rightOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], otixTag: ClassTag[(Option[Variant], Iterable[X])], ousyTag: scala.reflect.api.JavaUniverse.TypeTag[(Option[Variant], Seq[Y])]): GenericGenomicDataset[(Option[Variant], Iterable[X]), (Option[Variant], Seq[Y])]

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset. Since this is a right outer join, all values from the right genomic dataset who did not overlap a value from the left genomic dataset are placed into a length-1 Iterable with a `None` key.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset, and all values from the right genomic dataset that did not overlap an item in the left genomic dataset.

     Definition Classes
       GenomicDataset
115.  def rightOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Option[Variant], Iterable[X]), (Option[Variant], Seq[Y])]

     (Java-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     (Java-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset. Since this is a right outer join, all values from the right genomic dataset who did not overlap a value from the left genomic dataset are placed into a length-1 Iterable with a `None` key.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset, and all values from the right genomic dataset that did not overlap an item in the left genomic dataset.

     Definition Classes
       GenomicDataset
116.  def rightOuterShuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Option[Variant], Iterable[X]), (Option[Variant], Seq[Y])]

     (R-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     (R-specific) Performs a sort-merge right outer join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value, if not null.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset. Since this is a right outer join, all values from the right genomic dataset who did not overlap a value from the left genomic dataset are placed into a length-1 Iterable with a `None` key.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset, and all values from the right genomic dataset that did not overlap an item in the left genomic dataset.

     Definition Classes
       GenomicDataset
117.  def saveAsParquet(pathName: String): Unit

     Saves this genomic dataset to disk as a Parquet file.

     Saves this genomic dataset to disk as a Parquet file.

     pathName

       Path to save the file at.

     Definition Classes
       AvroGenomicDataset
118.  def saveAsParquet(pathName: String, blockSize: Integer, pageSize: Integer, compressionCodec: CompressionCodecName, disableDictionaryEncoding: Boolean): Unit

     (Java-specific) Saves this genomic dataset to disk as a Parquet file.

     (Java-specific) Saves this genomic dataset to disk as a Parquet file.

     pathName

       Path to save the file at.

     blockSize

       The size in bytes of blocks to write.

     pageSize

       The size in bytes of pages to write.

     compressionCodec

       The compression codec to apply to pages.

     disableDictionaryEncoding

       If false, dictionary encoding is used. If true, delta encoding is used.

     Definition Classes
       AvroGenomicDataset
119.  def saveAsParquet(pathName: String, blockSize: Int = 128 * 1024 * 1024, pageSize: Int = 1 * 1024 * 1024, compressionCodec: CompressionCodecName = CompressionCodecName.GZIP, disableDictionaryEncoding: Boolean = false): Unit

     Saves this genomic dataset to disk as a Parquet file.

     Saves this genomic dataset to disk as a Parquet file.

     pathName

       Path to save the file at.

     blockSize

       Size per block.

     pageSize

       Size per page.

     compressionCodec

       Name of the compression codec to use.

     disableDictionaryEncoding

       Whether or not to disable bit-packing. Default is false.

     Definition Classes
       AvroGenomicDataset → GenomicDataset
120.  def saveAsParquet(args: SaveArgs): Unit

     Saves a genomic dataset to Parquet.

     Saves a genomic dataset to Parquet.

     args

       The output format configuration to use when saving the data.

     Definition Classes
       GenomicDataset
121.  def saveAsPartitionedParquet(pathName: String, compressionCodec: CompressionCodecName = CompressionCodecName.GZIP, partitionSize: Int = 1000000): Unit

     Saves this RDD to disk in range binned partitioned Parquet format.

     Saves this RDD to disk in range binned partitioned Parquet format.

     pathName

       The path to save the partitioned Parquet file to.

     compressionCodec

       Name of the compression codec to use.

     partitionSize

       Size of partitions used when writing Parquet, in base pairs (bp). Defaults to 1,000,000 bp.

     Definition Classes
       GenomicDataset
122.  def saveAvro[U <: SpecificRecordBase](pathName: String, sc: SparkContext, schema: Schema, avro: Seq[U])(implicit tUag: ClassTag[U]): Unit

     Saves Avro data to a Hadoop file system.

     Saves Avro data to a Hadoop file system.

     This method uses a SparkContext to identify our underlying file system, which we then save to.

     Frustratingly enough, although all records generated by the Avro IDL compiler have a static SCHEMA$ field, this field does not belong to the SpecificRecordBase abstract class, or the SpecificRecord interface. As such, we must force the user to pass in the schema.

     U

       The type of the specific record we are saving.

     pathName

       Path to save records to.

     sc

       SparkContext used for identifying underlying file system.

     schema

       Schema of records we are saving.

     avro

       Seq of records we are saving.

     Attributes
       protected
     Definition Classes
       GenomicDataset
123.  def saveMetadata(filePath: String): Unit

     Called in saveAsParquet after saving genomic dataset to Parquet to save metadata.

     Called in saveAsParquet after saving genomic dataset to Parquet to save metadata.

     Writes any necessary metadata to disk. If not overridden, writes the sequence dictionary to disk as Avro.

     Attributes
       protected
     Definition Classes
       VariantDataset → AvroGenomicDataset → GenomicDataset
124.  def savePartitionMap(pathName: String): Unit

     Save the partition map to disk.

     Save the partition map to disk. This is done by adding the partition map to the schema.

     pathName

       The filepath where we will save the partition map.

     Attributes
       protected
     Definition Classes
       AvroGenomicDataset
125.  def saveRddAsParquet(pathName: String, blockSize: Int = 128 * 1024 * 1024, pageSize: Int = 1 * 1024 * 1024, compressionCodec: CompressionCodecName = CompressionCodecName.GZIP, disableDictionaryEncoding: Boolean = false, optSchema: Option[Schema] = None): Unit

     Saves a genomic dataset of Avro data to Parquet.

     Saves a genomic dataset of Avro data to Parquet.

     pathName

       The path to save the file to.

     blockSize

       The size in bytes of blocks to write. Defaults to 128 * 1024 * 1024.

     pageSize

       The size in bytes of pages to write. Defaults to 1 * 1024 * 1024.

     compressionCodec

       The compression codec to apply to pages. Defaults to CompressionCodecName.GZIP.

     disableDictionaryEncoding

       If false, dictionary encoding is used. If true, delta encoding is used. Defaults to false.

     optSchema

       The optional schema to set. Defaults to None.

     Attributes
       protected
     Definition Classes
       AvroGenomicDataset
126.  def saveRddAsParquet(args: SaveArgs): Unit
     Attributes
       protected
     Definition Classes
       AvroGenomicDataset
127.  def saveSequences(pathName: String): Unit

     Save the sequence dictionary to disk.

     Save the sequence dictionary to disk.

     pathName

       The path to save the sequence dictionary to.

     Attributes
       protected
     Definition Classes
       GenomicDataset
128.  def saveVcfHeaders(filePath: String): Unit

     Save the VCF headers to disk.

     Save the VCF headers to disk.

     filePath

       The filepath to the file where we will save the VCF headers.

     Definition Classes
       VariantDataset
129.  val sequences: SequenceDictionary

     The sequence dictionary describing the reference assembly this dataset is aligned to.

     The sequence dictionary describing the reference assembly this dataset is aligned to.

     Definition Classes
       RDDBoundVariantDataset → GenomicDataset
130.  def shuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], txTag: ClassTag[(Variant, X)], uyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Y)]): GenericGenomicDataset[(Variant, X), (Variant, Y)]

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

     genomicDataset

       The right genomic dataset in the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
131.  def shuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], txTag: ClassTag[(Variant, X)], uyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Y)]): GenericGenomicDataset[(Variant, X), (Variant, Y)]

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
132.  def shuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Variant, X), (Variant, Y)]

     (Java-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     (Java-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
133.  def shuffleRegionJoin[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Variant, X), (Variant, Y)]

     (R-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     (R-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space.

     Definition Classes
       GenomicDataset
134.  def shuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z])(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], tixTag: ClassTag[(Variant, Iterable[X])], uiyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Seq[Y])]): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped. In the same operation, we group all values by the left item in the genomic dataset.

     genomicDataset

       The right genomic dataset in the join.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset.

     Definition Classes
       GenomicDataset
135.  def shuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Long)(implicit tTag: ClassTag[Variant], xTag: ClassTag[X], tixTag: ClassTag[(Variant, Iterable[X])], uiyTag: scala.reflect.api.JavaUniverse.TypeTag[(Variant, Seq[Y])]): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. Since this is an inner join, all values who do not overlap a value from the other genomic dataset are dropped. In the same operation, we group all values by the left item in the genomic dataset.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset.

     Definition Classes
       GenomicDataset
136.  def shuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Integer): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

     (Java-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     (Java-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset.

     Definition Classes
       GenomicDataset
137.  def shuffleRegionJoinAndGroupByLeft[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](genomicDataset: GenomicDataset[X, Y, Z], flankSize: Double): GenericGenomicDataset[(Variant, Iterable[X]), (Variant, Seq[Y])]

     (R-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     (R-specific) Performs a sort-merge inner join between this genomic dataset and another genomic dataset, followed by a groupBy on the left value.

     In a sort-merge join, both genomic datasets are co-partitioned and sorted. The partitions are then zipped, and we do a merge join on each partition. The key equality function used for this join is the reference region overlap function. In the same operation, we group all values by the left item in the genomic dataset.

     genomicDataset

       The right genomic dataset in the join.

     flankSize

       Sets a flankSize for the distance between elements to be joined. If set to 0, an overlap is required to join two elements.

     returns

       Returns a new genomic dataset containing all pairs of keys that overlapped in the genomic coordinate space, grouped together by the value they overlapped in the left genomic dataset.

     Definition Classes
       GenomicDataset
138.  def sort(partitions: Int = rdd.partitions.length, stringency: ValidationStringency = ValidationStringency.STRICT)(implicit tTag: ClassTag[Variant]): VariantDataset

     Sorts our genome aligned data by reference positions, with references ordered by index.

     Sorts our genome aligned data by reference positions, with references ordered by index.

     partitions

       The number of partitions for the new genomic dataset.

     stringency

       The level of ValidationStringency to enforce.

     returns

       Returns a new genomic dataset containing sorted data.

     Definition Classes
       GenomicDataset
     Note

       Uses ValidationStringency to handle unaligned or where objects align to multiple positions.

     See also

       sortLexicographically

139.  def sort(): VariantDataset

     Sorts our genome aligned data by reference positions, with references ordered by index.

     Sorts our genome aligned data by reference positions, with references ordered by index.

     returns

       Returns a new genomic dataset containing sorted data.

     Definition Classes
       GenomicDataset
     See also

       sortLexicographically

140.  def sortLexicographically(partitions: Int = rdd.partitions.length, storePartitionMap: Boolean = false, storageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, stringency: ValidationStringency = ValidationStringency.STRICT)(implicit tTag: ClassTag[Variant]): VariantDataset

     Sorts our genome aligned data by reference positions, with references ordered lexicographically.

     Sorts our genome aligned data by reference positions, with references ordered lexicographically.

     partitions

       The number of partitions for the new genomic dataset.

     storePartitionMap

       A Boolean flag to determine whether to store the partition bounds from the resulting genomic dataset.

     storageLevel

       The level at which to persist the resulting genomic dataset.

     stringency

       The level of ValidationStringency to enforce.

     returns

       Returns a new genomic dataset containing sorted data.

     Definition Classes
       GenomicDataset
     Note

       Uses ValidationStringency to handle data that is unaligned or where objects align to multiple positions.

     See also

       sort

141.  def sortLexicographically(): VariantDataset

     Sorts our genome aligned data by reference positions, with references ordered lexicographically.

     Sorts our genome aligned data by reference positions, with references ordered lexicographically.

     returns

       Returns a new genomic dataset containing sorted data.

     Definition Classes
       GenomicDataset
     See also

       sort

142.  lazy val spark: SparkSession
     Definition Classes
       GenomicDataset
     Annotations
       @transient()
143.  final def synchronized[T0](arg0: ⇒ T0): T0
     Definition Classes
       AnyRef
144.  def toDF(): DataFrame

     returns

       These data as a Spark SQL DataFrame.

     Definition Classes
       GenomicDataset
145.  def toString(): String
     Definition Classes
       GenomicDataset → AnyRef → Any
146.  def toVariantContexts(): VariantContextDataset

     returns

       Returns this VariantDataset as a VariantContextDataset.

     Definition Classes
       VariantDataset
147.  def trace(mkr: Marker, msg: ⇒ Any, t: ⇒ Throwable): Unit
     Attributes
       protected
     Definition Classes
       Logging
148.  def trace(msg: ⇒ Any, t: ⇒ Throwable): Unit
     Attributes
       protected
     Definition Classes
       Logging
149.  def trace(msg: ⇒ Any): Unit
     Attributes
       protected
     Definition Classes
       Logging
150.  def transform(tFn: Function[JavaRDD[Variant], JavaRDD[Variant]]): VariantDataset

     (Java-specific) Applies a function that transforms the underlying RDD into a new RDD.

     (Java-specific) Applies a function that transforms the underlying RDD into a new RDD.

     tFn

       A function that transforms the underlying RDD.

     returns

       A new genomic dataset where the RDD of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
151.  def transform(tFn: (RDD[Variant]) ⇒ RDD[Variant]): VariantDataset

     (Scala-specific) Applies a function that transforms the underlying RDD into a new RDD.

     (Scala-specific) Applies a function that transforms the underlying RDD into a new RDD.

     tFn

       A function that transforms the underlying RDD.

     returns

       A new genomic dataset where the RDD of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
152.  def transformDataFrame(tFn: Function[DataFrame, DataFrame]): VariantDataset

     (Java-specific) Applies a function that transforms the underlying DataFrame into a new DataFrame using the Spark SQL API.

     (Java-specific) Applies a function that transforms the underlying DataFrame into a new DataFrame using the Spark SQL API.

     tFn

       A function that transforms the underlying DataFrame as a DataFrame.

     returns

       A new genomic dataset where the DataFrame of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
153.  def transformDataFrame(tFn: (DataFrame) ⇒ DataFrame)(implicit uTag: scala.reflect.api.JavaUniverse.TypeTag[Variant]): VariantDataset

     (Scala-specific) Applies a function that transforms the underlying DataFrame into a new DataFrame using the Spark SQL API.

     (Scala-specific) Applies a function that transforms the underlying DataFrame into a new DataFrame using the Spark SQL API.

     tFn

       A function that transforms the underlying data as a DataFrame.

     returns

       A new genomic dataset where the DataFrame of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
154.  def transformDataset(tFn: Function[Dataset[Variant], Dataset[Variant]]): VariantDataset

     (Java-specific) Applies a function that transforms the underlying Dataset into a new Dataset using the Spark SQL API.

     (Java-specific) Applies a function that transforms the underlying Dataset into a new Dataset using the Spark SQL API.

     tFn

       A function that transforms the underlying Dataset as a Dataset.

     returns

       A new genomic dataset where the Dataset of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       VariantDataset → GenomicDataset
155.  def transformDataset(tFn: (Dataset[Variant]) ⇒ Dataset[Variant]): VariantDataset

     (Scala-specific) Applies a function that transforms the underlying Dataset into a new Dataset using the Spark SQL API.

     (Scala-specific) Applies a function that transforms the underlying Dataset into a new Dataset using the Spark SQL API.

     tFn

       A function that transforms the underlying Dataset as a Dataset.

     returns

       A new genomic dataset where the Dataset of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       VariantDataset → GenomicDataset
156.  def transmute[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: Function[JavaRDD[Variant], JavaRDD[X]], convFn: Function2[VariantDataset, RDD[X], Z]): Z

     (Java-specific) Applies a function that transmutes the underlying RDD into a new RDD of a different type.

     (Java-specific) Applies a function that transmutes the underlying RDD into a new RDD of a different type.

     tFn

       A function that transforms the underlying RDD.

     convFn

       The conversion function used to build the final RDD.

     returns

       A new genomid dataset where the RDD of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
157.  def transmute[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: (RDD[Variant]) ⇒ RDD[X])(implicit convFn: (VariantDataset, RDD[X]) ⇒ Z): Z

     (Scala-specific) Applies a function that transmutes the underlying RDD into a new RDD of a different type.

     (Scala-specific) Applies a function that transmutes the underlying RDD into a new RDD of a different type.

     tFn

       A function that transforms the underlying RDD.

     returns

       A new genomic dataset where the RDD of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
158.  def transmuteDataFrame[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: Function[DataFrame, DataFrame], convFn: GenomicDatasetConversion[Variant, Variant, VariantDataset, X, Y, Z]): Z

     (Java-specific) Applies a function that transmutes the underlying DataFrame into a new DataFrame of a different type.

     (Java-specific) Applies a function that transmutes the underlying DataFrame into a new DataFrame of a different type.

     tFn

       A function that transforms the underlying DataFrame.

     returns

       A new genomic dataset where the DataFrame of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
159.  def transmuteDataFrame[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: (DataFrame) ⇒ DataFrame)(implicit yTag: scala.reflect.api.JavaUniverse.TypeTag[Y], convFn: (VariantDataset, Dataset[Y]) ⇒ Z): Z

     (Java-specific) Applies a function that transmutes the underlying DataFrame into a new DataFrame of a different type.

     (Java-specific) Applies a function that transmutes the underlying DataFrame into a new DataFrame of a different type.

     tFn

       A function that transforms the underlying DataFrame.

     returns

       A new genomic dataset where the DataFrame of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
160.  def transmuteDataset[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: Function[Dataset[Variant], Dataset[Y]], convFn: GenomicDatasetConversion[Variant, Variant, VariantDataset, X, Y, Z]): Z

     (Java-specific) Applies a function that transmutes the underlying Dataset into a new Dataset of a different type.

     (Java-specific) Applies a function that transmutes the underlying Dataset into a new Dataset of a different type.

     tFn

       A function that transforms the underlying Dataset.

     returns

       A new genomic dataset where the Dataset of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
161.  def transmuteDataset[X, Y <: Product, Z <: GenomicDataset[X, Y, Z]](tFn: (Dataset[Variant]) ⇒ Dataset[Y])(implicit yTag: scala.reflect.api.JavaUniverse.TypeTag[Y], convFn: (VariantDataset, Dataset[Y]) ⇒ Z): Z

     (Scala-specific) Applies a function that transmutes the underlying Dataset into a new Dataset of a different type.

     (Scala-specific) Applies a function that transmutes the underlying Dataset into a new Dataset of a different type.

     tFn

       A function that transforms the underlying Dataset.

     returns

       A new genomic dataset where the Dataset of genomic data has been replaced, but the metadata (sequence dictionary, and etc) are copied without modification.

     Definition Classes
       GenomicDataset
162.  val uTag: scala.reflect.api.JavaUniverse.TypeTag[Variant]
     Definition Classes
       VariantDataset → GenomicDataset
163.  def union(rdds: VariantDataset*): VariantDataset

     (Scala-specific) Unions together multiple genomic datasets.

     (Scala-specific) Unions together multiple genomic datasets.

     Definition Classes
       VariantDataset → GenomicDataset
164.  def union(datasets: List[VariantDataset]): VariantDataset

     (Java-specific) Unions together multiple genomic datasets.

     (Java-specific) Unions together multiple genomic datasets.

     datasets

       Genomic datasets to union with this genomic dataset.

     Definition Classes
       GenomicDataset
165.  def unpersist(): VariantDataset

     Unpersists underlying RDD from memory or disk.

     Unpersists underlying RDD from memory or disk.

     returns

       Uncached GenomicDataset.

     Definition Classes
       GenomicDataset
166.  val unproductFn: (Variant) ⇒ Variant
     Attributes
       protected
     Definition Classes
       VariantDataset → GenomicDataset
167.  final def wait(): Unit
     Definition Classes
       AnyRef
     Annotations
       @throws( ... )
168.  final def wait(arg0: Long, arg1: Int): Unit
     Definition Classes
       AnyRef
     Annotations
       @throws( ... )
169.  final def wait(arg0: Long): Unit
     Definition Classes
       AnyRef
     Annotations
       @native() @throws( ... )
170.  def warn(mkr: Marker, msg: ⇒ Any, t: ⇒ Throwable): Unit
     Attributes
       protected
     Definition Classes
       Logging
171.  def warn(msg: ⇒ Any, t: ⇒ Throwable): Unit
     Attributes
       protected
     Definition Classes
       Logging
172.  def warn(msg: ⇒ Any): Unit
     Attributes
       protected
     Definition Classes
       Logging
173.  def writePartitionedParquetFlag(pathName: String, partitionSize: Int): Unit

     Save partition size into the partitioned Parquet flag file.

     Save partition size into the partitioned Parquet flag file.

     pathName

       Path to save the file at.

     partitionSize

       Partition bin size, in base pairs, used in Hive-style partitioning.

     Definition Classes
       AvroGenomicDataset → GenomicDataset
174.  def writeTextRdd[T](rdd: RDD[T], outputPath: String, asSingleFile: Boolean, disableFastConcat: Boolean, optHeaderPath: Option[String] = None): Unit

     Writes an RDD to disk as text and optionally merges.

     Writes an RDD to disk as text and optionally merges.

     rdd

       RDD to save.

     outputPath

       Output path to save text files to.

     asSingleFile

       If true, combines all partition shards.

     disableFastConcat

       If asSingleFile is true, disables the use of the parallel file merging engine.

     optHeaderPath

       If provided, the header file to include.

     Attributes
       protected
     Definition Classes
       GenomicDataset

### Inherited from Serializable

### Inherited from Product

### Inherited from Equals

### Inherited from VariantDataset

### Inherited from VCFSupportingGenomicDataset[Variant, Variant, VariantDataset]

### Inherited from AvroGenomicDataset[Variant, Variant, VariantDataset]

### Inherited from GenomicDataset[Variant, Variant, VariantDataset]

### Inherited from Logging

### Inherited from AnyRef

### Inherited from Any

### Ungrouped