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.
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::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- libgsl
- bigWigToBedGraph (a UCSC kent utility)
- bedtools
- samtools
- RNAfold
- ruby
- R package
:: DOWNLOAD
:: 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