miRTRAP, a computational method for the systematic identification of miRNAs from high throughput sequencing data. Author David Hendrix, Michael Levine, Weiyang Shi Publication Year 2010 Type Journal Article Abstract MicroRNAs (miRs) have been broadly implicated in animal development and disease. We developed a novel computational strategy for the systematic, whole-genome identification of miRs from high throughput sequencing information. This method, miRTRAP, incorporates the mechanisms of miR biogenesis and includes additional criteria regarding the prevalence and quality of small RNAs arising from the antisense strand and neighboring loci. This program was applied to the simple chordate Ciona intestinalis and identified nearly 400 putative miR loci. Keywords Animals, Base Sequence, Molecular Sequence Data, Ciona intestinalis, Computational Biology, Genome, Sequence Analysis, RNA, MicroRNAs, High-Throughput Screening Assays, Phylogeny Journal Genome Biol Volume 11 Issue 4 Pages R39 Alternate Journal Genome Biol. Google ScholarBibTeXEndNote X3 XML