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.
Wang Lab @ IBI
- bigWigToBedGraph (a UCSC kent utility)
- R package
:: MORE INFORMATION
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