Identification of long non-coding transcripts with feature selection: a comparative study.
Giovanna M M VentolaTeresa M R NovielloSalvatore D'AnielloAntonietta SpagnuoloMichele CeccarelliLuigi CeruloPublished in: BMC bioinformatics (2017)
Understanding which features are best suited for the prediction of long non-coding RNAs allows for the development of more effective automatic annotation pipelines especially relevant for poorly annotated genomes, such as zebrafish. We provide a web tool that recognizes novel long non-coding RNAs with the obtained signatures from fasta and gtf formats. The tool is available at the following url: http://www.bioinformatics-sannio.org/software/ .