peaks2utr: a robust Python tool for the annotation of 30 UTRs

Annotation of nonmodel organisms is an open problem, especially the detection of untranslated regions (UTRs). Correct annotation of UTRs is crucial in transcriptomic analysis to accurately capture the expression of each gene yet is mostly overlooked in annotation pipelines. Here we present peaks2utr, an easy-to-use Python command line tool that uses the UTR enrichment of single-cell technologies, such as 10x Chromium, to accurately annotate 30 UTRs for a given canonical annotation.

Automated summary

In this study, peaks2utr, an easy-to-use Python command line tool, is presented to accurately annotate 30 UTRs for a given canonical annotation using UTR enrichment of single-cell technologies, such as 10x Chromium. This addresses the open problem of annotation of nonmodel organisms.