Jun 252013
 

CoRAL 1.1.1

:: DESCRIPTION

CoRAL is a machine learning package that can predict the precursor class of small RNAs present in a high-throughput RNA-sequencing dataset. In addition to classification, it also produces information about the features that are most important for discriminating different populations of small non-coding RNAs.

::DEVELOPER

 Wang Lab @ IBI

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • libgsl
  • bigWigToBedGraph (a UCSC kent utility)
  • bedtools
  • samtools
  • RNAfold
  • ruby
  • R package

:: DOWNLOAD

 CoRAL

:: MORE INFORMATION

Citation

Leung,Y.Y., Ryvkin,P., Ungar,L., Gregory,B.D., and Wang, L.-S. (2013)
CoRAL: Predicting non-coding RNAs from small RNA-sequencing.
Nucl. Acids Res. (2013) doi: 10.1093/nar/gkt426

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