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Analysing high-throughput sequencing data in Python with HTSeq 2.0.

ABSTRACT:

Summary

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.

Availability and implementation

HTSeq 2.0 is released as an open-source software under the GNU General Public License and is available from the Python Package Index at https://pypi.python.org/pypi/HTSeq. The source code is available on Github at https://github.com/htseq/htseq.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Putri GH

PROVIDER: S-EPMC9113351 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Analysing high-throughput sequencing data in Python with HTSeq 2.0.

Putri Givanna H GH Anders Simon S Pyl Paul Theodor PT Pimanda John E JE Zanini Fabio F

Bioinformatics (Oxford, England) 20220501 10

<h4>Summary</h4>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.<h4>Availability and implementation</h4>HTSeq 2.0 is released as an open-source software under the GNU General Public License and is available from the Python Package ...[more]

PMID: 35561197

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