Analysing high-throughput sequencing data in Python with HTSeq 2.0
Bioinformatics, 2022•academic.oup.com
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 …
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 …
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.
Oxford University Press