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Analysing high-throughput sequencing data in Python with HTSeq 2.0

Putri, Givanna H. ; Anders, Simon ; Pyl, Paul Theodor LU ; Pimanda, John E. and Zanini, Fabio (2022) In Bioinformatics 38(10). p.2943-2945
Abstract

HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes and Python 3 support.

Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Bioinformatics
volume
38
issue
10
pages
3 pages
publisher
Oxford University Press
external identifiers
  • pmid:35561197
  • scopus:85132413404
ISSN
1367-4803
DOI
10.1093/bioinformatics/btac166
language
English
LU publication?
yes
id
248ec706-a863-4570-afcd-0d7cbb5bf686
date added to LUP
2022-09-13 11:31:09
date last changed
2024-06-14 22:04:56
@article{248ec706-a863-4570-afcd-0d7cbb5bf686,
  abstract     = {{<p>HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes and Python 3 support. </p>}},
  author       = {{Putri, Givanna H. and Anders, Simon and Pyl, Paul Theodor and Pimanda, John E. and Zanini, Fabio}},
  issn         = {{1367-4803}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{10}},
  pages        = {{2943--2945}},
  publisher    = {{Oxford University Press}},
  series       = {{Bioinformatics}},
  title        = {{Analysing high-throughput sequencing data in Python with HTSeq 2.0}},
  url          = {{http://dx.doi.org/10.1093/bioinformatics/btac166}},
  doi          = {{10.1093/bioinformatics/btac166}},
  volume       = {{38}},
  year         = {{2022}},
}