Papers › Analysing high-throughput sequencing data in Python with HTSeq 2.0
Analysing high-throughput sequencing data in Python with HTSeq 2.0
Givanna H Putri, Simon Anders, Paul Theodor Pyl, John E Pimanda, Fabio Zanini
Summary: HTSeq 2.0 provides a more extensive API including a new representation for sparse genomic data, enhancements in 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 Licence and 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. Contact: fabio.zanini@unsw.edu.au
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