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

Title:
peaks2utr: a robust Python tool for the annotation of 3’ UTRs
Authors:
Haese-Hill, William, Crouch, Kathryn, Otto, Thomas D.
Publisher Information:
Oxford University Press
Publication Year:
2023
Collection:
University of Glasgow: Enlighten - Publications
Document Type:
Academic journal article in journal/newspaper
File Description:
text
Language:
English
Relation:
https://eprints.gla.ac.uk/293224/1/293224.pdf; Haese-Hill, W. , Crouch, K. and Otto, T. D. (2023) peaks2utr: a robust Python tool for the annotation of 3’ UTRs. Bioinformatics , 39(3), btad112. (doi:10.1093/bioinformatics/btad112 ) (PMID:36864613) (PMCID:PMC10008064)
Availability:
https://eprints.gla.ac.uk/293224/
https://eprints.gla.ac.uk/293224/1/293224.pdf
Rights:
cc_by_4
Accession Number:
edsbas.AB8E85BB
Database:
BASE

Further Information

Motivation: Annotation of non-model 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 3’ UTRs for a given canonical annotation. Availability: 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. Supplementary information: Supplementary data are available at Bioinformatics online.