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...
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Published in | Bioinformatics (Oxford, England) Vol. 39; no. 3 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.03.2023
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Subjects | |
Online Access | Get full text |
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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. |
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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 |