Analysing high-throughput sequencing data in Python with HTSeq 2.0

By Givanna H. Putri, Simon Anders, Paul Theodor Pyl, J. Pimanda, F. Zanini. Bioinform., 2021

869 citations recorded by the source corpus.

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.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4cfe311bb7acf520bd48172ce6409a4724c1e058