object Output
Output format helper methods
- Alphabetic
- By Inheritance
- Output
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
showStats(stats: Dataset[BucketStats], fileOutput: Option[String] = None)(implicit spark: SparkSession): Unit
Print overview statistics for a collection of BucketStats objects.
Print overview statistics for a collection of BucketStats objects.
- stats
Statistics to aggregate
- fileOutput
Location to also write output file to (optional, prefix name)
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
def
writeFastaCounts(allKmers: Dataset[(NTSeq, Abundance)], writeLocation: String)(implicit spark: SparkSession): Unit
Write k-mers with counts as FASTA files.
Write k-mers with counts as FASTA files. Each k-mer becomes a separate sequence. The counts are output as sequence ID headers.
- allKmers
data to write
- writeLocation
location to write (prefix name, a suffix will be appended)
-
def
writeTSV[A](allKmers: Dataset[A], writeLocation: String): Unit
Write a data table as TSV to the filesystem.
Write a data table as TSV to the filesystem.
- allKmers
data to write
- writeLocation
location to write (prefix name, a suffix will be appended)