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
@article{arxiv.2112.00939,
title = {Analysing high-throughput sequencing data in Python with HTSeq 2.0},
author = {Givanna H Putri and Simon Anders and Paul Theodor Pyl and John E Pimanda and Fabio Zanini},
journal= {arXiv preprint arXiv:2112.00939},
year = {2021}
}