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BIBTEX RIS

Analysing high-throughput sequencing data in Python with HTSeq 2.0

2022; Oxford University Press; Volume: 38; Issue: 10 Linguagem: Inglês

10.1093/bioinformatics/btac166

ISSN

1367-4811

Autores

Givanna Putri, Simon Anders, Paul Theodor Pyl, John E. Pimanda, Fabio Zanini,

Tópico(s)

Single-cell and spatial transcriptomics

Resumo

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.HTSeq 2.0 is released as an open-source software under the GNU General Public License 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.Supplementary data are available at Bioinformatics online.

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