peaks2utr: a robust Python tool for the annotation of 3′ UTRs

Abstract Summary 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...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics (Oxford, England) Vol. 39; no. 3
Main Authors Haese-Hill, William, Crouch, Kathryn, Otto, Thomas D
Format Journal Article
LanguageEnglish
Published England Oxford University Press 01.03.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Abstract Summary 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 10× Chromium, to accurately annotate 3′ UTRs for a given canonical annotation. Availability and implementation peaks2utr is implemented in Python 3 (≥3.8). It is available via PyPI at https://pypi.org/project/peaks2utr and GitHub at https://github.com/haessar/peaks2utr. It is licensed under GNU GPLv3.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1367-4811
1367-4803
1367-4811
DOI:10.1093/bioinformatics/btad112