org.bdgenomics.adam.rdd.contig

NucleotideContigFragmentRDD

case class NucleotideContigFragmentRDD(rdd: RDD[NucleotideContigFragment], sequences: SequenceDictionary) extends AvroGenomicRDD[NucleotideContigFragment, NucleotideContigFragmentRDD] with ReferenceFile with Product with Serializable

A wrapper class for RDD[NucleotideContigFragment]. NucleotideContigFragmentRDD extends ReferenceFile. To specifically access a ReferenceFile within an RDD, refer to:

rdd

Underlying RDD

sequences

Sequence dictionary computed from rdd

See also

ReferenceContigMap

Linear Supertypes
Product, Equals, ReferenceFile, AvroGenomicRDD[NucleotideContigFragment, NucleotideContigFragmentRDD], GenomicRDD[NucleotideContigFragment, NucleotideContigFragmentRDD], ADAMRDDFunctions[NucleotideContigFragment], Logging, Serializable, Serializable, AnyRef, Any
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  1. NucleotideContigFragmentRDD
  2. Product
  3. Equals
  4. ReferenceFile
  5. AvroGenomicRDD
  6. GenomicRDD
  7. ADAMRDDFunctions
  8. Logging
  9. Serializable
  10. Serializable
  11. AnyRef
  12. Any
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Instance Constructors

  1. new NucleotideContigFragmentRDD(rdd: RDD[NucleotideContigFragment], sequences: SequenceDictionary)

    rdd

    Underlying RDD

    sequences

    Sequence dictionary computed from rdd

Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def broadcastRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(NucleotideContigFragment, X), Z]](genomicRdd: GenomicRDD[X, Y])(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(NucleotideContigFragment, X), Z]

    Performs a broadcast inner join between this RDD and another RDD.

    Performs a broadcast inner join between this RDD and another RDD.

    In a broadcast join, the left RDD (this RDD) 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 RDD are dropped.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def countKmers(kmerLength: Int): RDD[(String, Long)]

    Counts the k-mers contained in a FASTA contig.

    Counts the k-mers contained in a FASTA contig.

    kmerLength

    The length of k-mers to count.

    returns

    Returns an RDD containing k-mer/count pairs.

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

    Definition Classes
    AnyRef
  11. def extract(region: ReferenceRegion): String

    From a set of contigs, returns the base sequence that corresponds to a region of the reference.

    From a set of contigs, returns the base sequence that corresponds to a region of the reference.

    region

    Reference region over which to get sequence.

    returns

    String of bases corresponding to reference sequence.

    Definition Classes
    NucleotideContigFragmentRDDReferenceFile
    Exceptions thrown
    UnsupportedOperationException

    Throws exception if query region is not found.

  12. def filterByOverlappingRegion(query: ReferenceRegion): NucleotideContigFragmentRDD

    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 GenomicRDD containing only data that overlaps the query region.

    Definition Classes
    GenomicRDD
  13. def filterByOverlappingRegions(querys: List[ReferenceRegion]): NucleotideContigFragmentRDD

    Runs a filter that selects data in the underlying RDD that overlaps several genomic regions.

    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 GenomicRDD containing only data that overlaps the querys region.

    Definition Classes
    GenomicRDD
  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def flankAdjacentFragments(flankLength: Int): NucleotideContigFragmentRDD

    For all adjacent records in the RDD, we extend the records so that the adjacent records now overlap by _n_ bases, where _n_ is the flank length.

    For all adjacent records in the RDD, we extend the records so that the adjacent records now overlap by _n_ bases, where _n_ is the flank length.

    flankLength

    The length to extend adjacent records by.

    returns

    Returns the RDD, with all adjacent fragments extended with flanking sequence.

  16. def flattenRddByRegions(): RDD[(ReferenceRegion, NucleotideContigFragment)]

    Attributes
    protected
    Definition Classes
    GenomicRDD
  17. def fullOuterShuffleRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(Option[NucleotideContigFragment], Option[X]), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(Option[NucleotideContigFragment], Option[X]), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD does not overlap any values in the other RDD, it will be paired with a None in the product of the join.

    genomicRdd

    The right RDD in the join.

    returns

    Returns a new genomic RDD 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
    GenomicRDD
  18. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  19. def getReferenceRegions(elem: NucleotideContigFragment): Seq[ReferenceRegion]

    elem

    Fragment to extract a region from.

    returns

    If a fragment is aligned to a reference location, returns a single reference region. If the fragment start position and name is not defined, returns no regions.

    Attributes
    protected
    Definition Classes
    NucleotideContigFragmentRDDGenomicRDD
  20. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  21. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  22. lazy val jrdd: JavaRDD[NucleotideContigFragment]

    The underlying RDD of genomic data, as a JavaRDD.

    The underlying RDD of genomic data, as a JavaRDD.

    Definition Classes
    GenomicRDD
  23. def leftOuterShuffleRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(NucleotideContigFragment, Option[X]), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(NucleotideContigFragment, Option[X]), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD that do not overlap a value from the left RDD are dropped. If a value from the left RDD does not overlap any values in the right RDD, it will be paired with a None in the product of the join.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  24. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  25. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  26. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  27. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  28. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  29. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  30. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  31. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  32. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  33. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  34. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  35. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  36. def mergeFragments(): NucleotideContigFragmentRDD

    Merge fragments by contig name.

    Merge fragments by contig name.

    returns

    Returns a NucleotideContigFragmentRDD containing a single fragment per contig.

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

    Definition Classes
    AnyRef
  38. final def notify(): Unit

    Definition Classes
    AnyRef
  39. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  40. def pipe[X, Y <: GenomicRDD[X, Y], V <: InFormatter[NucleotideContigFragment, NucleotideContigFragmentRDD, V]](cmd: String, files: Seq[String] = Seq.empty, environment: Map[String, String] = Map.empty, flankSize: Int = 0)(implicit tFormatterCompanion: InFormatterCompanion[NucleotideContigFragment, NucleotideContigFragmentRDD, V], xFormatter: OutFormatter[X], convFn: (NucleotideContigFragmentRDD, RDD[X]) ⇒ Y, tManifest: ClassTag[NucleotideContigFragment], xManifest: ClassTag[X]): Y

    Pipes genomic data to a subprocess that runs in parallel using Spark.

    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.

    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 GenomicRDD. 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 GenomicRDD containing X's.

    V

    The InFormatter to use for formatting the data being piped to the command.

    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.

    returns

    Returns a new GenomicRDD of type Y.

    Definition Classes
    GenomicRDD
  41. val rdd: RDD[NucleotideContigFragment]

    Underlying RDD

    Underlying RDD

    Definition Classes
    NucleotideContigFragmentRDDGenomicRDD → ADAMRDDFunctions
  42. def replaceRdd(newRdd: RDD[NucleotideContigFragment]): NucleotideContigFragmentRDD

    Replaces the underlying RDD with a new RDD.

    Replaces the underlying RDD with a new RDD.

    newRdd

    The RDD to use for the new NucleotideContigFragmentRDD.

    returns

    Returns a new NucleotideContigFragmentRDD where the underlying RDD has been replaced.

    Attributes
    protected
    Definition Classes
    NucleotideContigFragmentRDDGenomicRDD
  43. def rightOuterBroadcastRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(Option[NucleotideContigFragment], X), Z]](genomicRdd: GenomicRDD[X, Y])(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(Option[NucleotideContigFragment], X), Z]

    Performs a broadcast right outer join between this RDD and another RDD.

    Performs a broadcast right outer join between this RDD and another RDD.

    In a broadcast join, the left RDD (this RDD) 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 RDD that do not overlap a value from the right RDD are dropped. If a value from the right RDD does not overlap any values in the left RDD, it will be paired with a None in the product of the join.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  44. def rightOuterShuffleRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(Option[NucleotideContigFragment], X), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(Option[NucleotideContigFragment], X), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD that do not overlap a value from the right RDD are dropped. If a value from the right RDD does not overlap any values in the left RDD, it will be paired with a None in the product of the join.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  45. def rightOuterShuffleRegionJoinAndGroupByLeft[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(Option[NucleotideContigFragment], Iterable[X]), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(Option[NucleotideContigFragment], Iterable[X]), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD. Since this is a right outer join, all values from the right RDD who did not overlap a value from the left RDD are placed into a length-1 Iterable with a None key.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  46. def save(fileName: String): Unit

    Save nucleotide contig fragments as Parquet or FASTA.

    Save nucleotide contig fragments as Parquet or FASTA.

    If filename ends in .fa or .fasta, saves as Fasta. If not, saves fragments to Parquet. Defaults to 60 character line length, if saving to FASTA.

    fileName

    file name

  47. def saveAsFasta(fileName: String, lineWidth: Int = 60): Unit

    Save nucleotide contig fragments in FASTA format.

    Save nucleotide contig fragments in FASTA format.

    fileName

    file name

    lineWidth

    hard wrap FASTA formatted sequence at line width, default 60

  48. def saveAsParquet(filePath: String): Unit

    Saves this RDD to disk as a Parquet file.

    Saves this RDD to disk as a Parquet file.

    filePath

    Path to save the file at.

    Definition Classes
    AvroGenomicRDD
  49. def saveAsParquet(filePath: String, blockSize: Integer, pageSize: Integer, compressCodec: CompressionCodecName, disableDictionaryEncoding: Boolean): Unit

    Saves this RDD to disk as a Parquet file.

    Saves this RDD to disk as a Parquet file.

    filePath

    Path to save the file at.

    blockSize

    Size per block.

    pageSize

    Size per page.

    compressCodec

    Name of the compression codec to use.

    disableDictionaryEncoding

    Whether or not to disable bit-packing.

    Definition Classes
    AvroGenomicRDD
  50. def saveAsParquet(filePath: String, blockSize: Int = 128 * 1024 * 1024, pageSize: Int = 1 * 1024 * 1024, compressCodec: CompressionCodecName = CompressionCodecName.GZIP, disableDictionaryEncoding: Boolean = false): Unit

    Saves this RDD to disk as a Parquet file.

    Saves this RDD to disk as a Parquet file.

    filePath

    Path to save the file at.

    blockSize

    Size per block.

    pageSize

    Size per page.

    compressCodec

    Name of the compression codec to use.

    disableDictionaryEncoding

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

    Definition Classes
    AvroGenomicRDD
  51. def saveAsParquet(args: SaveArgs): Unit

    Saves RDD as a directory of Parquet files.

    Saves RDD as a directory of Parquet files.

    The RDD is written as a directory of Parquet files, with Parquet configuration described by the input param args. The provided sequence dictionary is written at args.outputPath/_seqdict.avro as Avro binary.

    args

    Save configuration arguments.

    Definition Classes
    AvroGenomicRDD
  52. def saveAvro[U <: SpecificRecordBase](filename: 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.

    filename

    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
    ADAMRDDFunctions
  53. def saveMetadata(filePath: String): Unit

    Called in saveAsParquet after saving RDD to Parquet to save metadata.

    Called in saveAsParquet after saving RDD 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
    AvroGenomicRDD
  54. def saveRddAsParquet(filePath: String, blockSize: Int = 128 * 1024 * 1024, pageSize: Int = 1 * 1024 * 1024, compressCodec: CompressionCodecName = CompressionCodecName.GZIP, disableDictionaryEncoding: Boolean = false, schema: Option[Schema] = None): Unit

    Saves an RDD of Avro data to Parquet.

    Saves an RDD of Avro data to Parquet.

    filePath

    The path to save the file to.

    blockSize

    The size in bytes of blocks to write.

    pageSize

    The size in bytes of pages to write.

    compressCodec

    The compression codec to apply to pages.

    disableDictionaryEncoding

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

    schema

    The schema to set.

    Attributes
    protected
    Definition Classes
    ADAMRDDFunctions
  55. def saveRddAsParquet(args: SaveArgs): Unit

    Attributes
    protected
    Definition Classes
    ADAMRDDFunctions
  56. val sequences: SequenceDictionary

    Sequence dictionary computed from rdd

    Sequence dictionary computed from rdd

    Definition Classes
    NucleotideContigFragmentRDDReferenceFileGenomicRDD
  57. def shuffleRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(NucleotideContigFragment, X), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(NucleotideContigFragment, X), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD are dropped.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  58. def shuffleRegionJoinAndGroupByLeft[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(NucleotideContigFragment, Iterable[X]), Z]](genomicRdd: GenomicRDD[X, Y], optPartitions: Option[Int] = None)(implicit tTag: ClassTag[NucleotideContigFragment], xTag: ClassTag[X]): GenomicRDD[(NucleotideContigFragment, Iterable[X]), Z]

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

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

    In a sort-merge join, both RDDs 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 RDD are dropped. In the same operation, we group all values by the left item in the RDD.

    genomicRdd

    The right RDD in the join.

    returns

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

    Definition Classes
    GenomicRDD
  59. def sort(): NucleotideContigFragmentRDD

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

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

    returns

    Returns a new RDD containing sorted data.

    Definition Classes
    GenomicRDD
    Note

    Does not support data that is unaligned or where objects align to multiple positions.

    See also

    sortLexicographically

  60. def sortLexicographically(): NucleotideContigFragmentRDD

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

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

    returns

    Returns a new RDD containing sorted data.

    Definition Classes
    GenomicRDD
    Note

    Does not support data that is unaligned or where objects align to multiple positions.

    See also

    sort

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

    Definition Classes
    AnyRef
  62. def toReads: RDD[AlignmentRecord]

    Converts an RDD of nucleotide contig fragments into reads.

    Converts an RDD of nucleotide contig fragments into reads. Adjacent contig fragments are combined.

    returns

    Returns an RDD of reads.

  63. def transform(tFn: (RDD[NucleotideContigFragment]) ⇒ RDD[NucleotideContigFragment]): NucleotideContigFragmentRDD

    Applies a function that transforms the underlying RDD into a new RDD.

    Applies a function that transforms the underlying RDD into a new RDD.

    tFn

    A function that transforms the underlying RDD.

    returns

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

    Definition Classes
    GenomicRDD
  64. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  65. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  66. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from ReferenceFile

Inherited from AvroGenomicRDD[NucleotideContigFragment, NucleotideContigFragmentRDD]

Inherited from GenomicRDD[NucleotideContigFragment, NucleotideContigFragmentRDD]

Inherited from ADAMRDDFunctions[NucleotideContigFragment]

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped