org.bdgenomics.adam.rdd

ADAMRecordRDDFunctions

class ADAMRecordRDDFunctions extends ADAMSequenceDictionaryRDDAggregator[ADAMRecord]

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ADAMSequenceDictionaryRDDAggregator[ADAMRecord], Logging, Serializable, Serializable, AnyRef, Any
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  1. ADAMRecordRDDFunctions
  2. ADAMSequenceDictionaryRDDAggregator
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Instance Constructors

  1. new ADAMRecordRDDFunctions(rdd: RDD[ADAMRecord])

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. def adamBQSR(knownSnps: Broadcast[SnpTable]): RDD[ADAMRecord]

  7. def adamCharacterizeTagValues(tag: String): Map[Any, Long]

    Calculates the set of unique attribute values that occur for the given tag, and the number of time each value occurs.

    Calculates the set of unique attribute values that occur for the given tag, and the number of time each value occurs.

    tag

    The name of the optional field whose values are to be counted.

    returns

    A Map whose keys are the values of the tag, and whose values are the number of time each tag-value occurs.

  8. def adamCharacterizeTags(): RDD[(String, Long)]

    Converts a set of records into an RDD containing the pairs of all unique tagStrings within the records, along with the count (number of records) which have that particular attribute.

    Converts a set of records into an RDD containing the pairs of all unique tagStrings within the records, along with the count (number of records) which have that particular attribute.

    returns

    An RDD of attribute name / count pairs.

  9. def adamFilterRecordsWithTag(tagName: String): RDD[ADAMRecord]

    Returns the subset of the ADAMRecords which have an attribute with the given name.

    Returns the subset of the ADAMRecords which have an attribute with the given name.

    tagName

    The name of the attribute to filter on (should be length 2)

    returns

    An RDD[ADAMRecord] containing the subset of records with a tag that matches the given name.

  10. def adamFlagStat(): (FlagStatMetrics, FlagStatMetrics)

  11. def adamGetSequenceDictionary(): SequenceDictionary

    Aggregates together a sequence dictionary from the different individual reference sequences used in this dataset.

    Aggregates together a sequence dictionary from the different individual reference sequences used in this dataset.

    returns

    A sequence dictionary describing the reference contigs in this dataset.

    Definition Classes
    ADAMSequenceDictionaryRDDAggregator
  12. def adamMarkDuplicates(): RDD[ADAMRecord]

  13. def adamRealignIndels(): RDD[ADAMRecord]

  14. def adamRecords2Pileup(secondaryAlignments: Boolean = false): RDD[ADAMPileup]

    Groups all reads by reference position and returns a non-aggregated pileup RDD.

    Groups all reads by reference position and returns a non-aggregated pileup RDD.

    secondaryAlignments

    Creates pileups for non-primary aligned reads. Default is false.

    returns

    ADAMPileup without aggregation

  15. def adamRecords2Rods(bucketSize: Int = 1000, secondaryAlignments: Boolean = false): RDD[ADAMRod]

    Groups all reads by reference position, with all reference position bases grouped into a rod.

    Groups all reads by reference position, with all reference position bases grouped into a rod.

    bucketSize

    Size in basepairs of buckets. Larger buckets take more time per bucket to convert, but have lower skew. Default is 1000.

    secondaryAlignments

    Creates rods for non-primary aligned reads. Default is false.

    returns

    RDD of ADAMRods.

  16. def adamSingleReadBuckets(): RDD[SingleReadBucket]

    Groups all reads by record group and read name

    Groups all reads by record group and read name

    returns

    SingleReadBuckets with primary, secondary and unmapped reads

  17. def adamSortReadsByReferencePosition(): RDD[ADAMRecord]

  18. final def asInstanceOf[T0]: T0

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  19. def clone(): AnyRef

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  20. final def eq(arg0: AnyRef): Boolean

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  21. def equals(arg0: Any): Boolean

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  22. def finalize(): Unit

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  23. final def getClass(): Class[_]

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  24. def getSequenceRecordsFromElement(elem: ADAMRecord): Set[SequenceRecord]

    For a single RDD element, returns 0+ sequence record elements.

    For a single RDD element, returns 0+ sequence record elements.

    elem

    Element from which to extract sequence records.

    returns

    A seq of sequence records.

    Definition Classes
    ADAMRecordRDDFunctionsADAMSequenceDictionaryRDDAggregator
  25. def hashCode(): Int

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  26. final def isInstanceOf[T0]: Boolean

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  27. def isTraceEnabled(): Boolean

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  28. def log: Logger

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  29. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  30. def logDebug(msg: ⇒ String): Unit

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  31. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  32. def logError(msg: ⇒ String): Unit

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  33. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  34. def logInfo(msg: ⇒ String): Unit

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  35. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  36. def logTrace(msg: ⇒ String): Unit

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  37. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  38. def logWarning(msg: ⇒ String): Unit

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  39. final def ne(arg0: AnyRef): Boolean

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  40. final def notify(): Unit

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  41. final def notifyAll(): Unit

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  42. final def synchronized[T0](arg0: ⇒ T0): T0

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  43. def toString(): String

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  44. final def wait(): Unit

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  45. final def wait(arg0: Long, arg1: Int): Unit

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  46. final def wait(arg0: Long): Unit

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Inherited from ADAMSequenceDictionaryRDDAggregator[ADAMRecord]

Inherited from Logging

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Inherited from Serializable

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