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final case class MinSplitter[+P <: MinimizerPriorities](priorities: P, k: Int) extends Product with Serializable

Split reads into superkmers by ranked motifs (minimizers). Such superkmers can be bucketed by the corresponding minimizer.

priorities

Minimizer ordering to use for splitting

k

k-mer length

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Instance Constructors

  1. new MinSplitter(priorities: P, k: Int)

    priorities

    Minimizer ordering to use for splitting

    k

    k-mer length

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  8. final def getClass(): Class[_]
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    @native()
  9. def humanReadable(id: BucketId): NTSeq

    Compute a human-readable form of the bucket ID.

  10. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  11. val k: Int
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  13. final def notify(): Unit
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    @native()
  14. final def notifyAll(): Unit
    Definition Classes
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    @native()
  15. val priorities: P
  16. lazy val scanner: ShiftScanner

    A ShiftScanner associated with this splitter's MinTable

    A ShiftScanner associated with this splitter's MinTable

    Annotations
    @transient()
  17. def splitEncode(read: NTSeq, addRC: Boolean = false): Iterator[(Int, Long, ZeroNTBitArray, SeqLocation)]

    Split a read into superkmers.

    Split a read into superkmers.

    read

    the read to split

    addRC

    whether to add the reverse complement read on the fly

    returns

    an iterator of (position in read, rank (hash/minimizer ID), encoded superkmer, location in sequence if available)

  18. def splitEncodeLocation(read: InputFragment, sequenceIDs: Map[SeqTitle, SeqID]): Iterator[SplitSegment]

    Split a read into super-mers, efficiently encoding them in binary form in the process, also preserving sequence ID and location.

    Split a read into super-mers, efficiently encoding them in binary form in the process, also preserving sequence ID and location.

    read

    The read to split

    sequenceIDs

    IDs for each sequence title, to be preserved in the result

    returns

    an iterator of superkmers with sequence ID and location populated

  19. def splitRead(encoded: ZeroNTBitArray, matches: Array[Long]): Iterator[(Int, Long, ZeroNTBitArray, SeqLocation)]

    Split a read into superkmers, and return them together with the corresponding minimizer.

    Split a read into superkmers, and return them together with the corresponding minimizer.

    encoded

    the read to split

    matches

    discovered motif ranks in the superkmer

    returns

    an iterator of (position in read, rank (hash/minimizer ID), encoded superkmer, location in sequence if available)

  20. def splitRead(encoded: ZeroNTBitArray, reverseComplement: Boolean = false): Iterator[(Int, Long, ZeroNTBitArray, SeqLocation)]

    Split an encoded read into superkmers.

    Split an encoded read into superkmers.

    encoded

    the read to split

    returns

    an iterator of (position of minimizer in sequence, rank (hash/minimizer ID), encoded superkmer, position of superkmer start in sequence)

  21. final def synchronized[T0](arg0: ⇒ T0): T0
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  22. final def wait(): Unit
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    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  24. final def wait(arg0: Long): Unit
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