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Analysing high-throughput sequencing data in Python with HTSeq 2.0
Givanna H Putri1,2, Simon Anders3, Paul Theodor Pyl4
1School of Clinical Medicine, University of New South Wales, Sydney, NSW 2033, Australia.
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.
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