HTSeq—a Python framework to work with high-throughput sequencing data

201422,351 citationsJournal Articlehybrid Open Access

Authors

Simon Anders · European Molecular Biology Laboratory

Paul Theodor Pyl · European Molecular Biology Laboratory

Wolfgang Huber · European Molecular Biology Laboratory

Abstract

HTSeq is released as an open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index at https://pypi.python.org/pypi/HTSeq.

Topics & Keywords

Genomics and Phylogenetic Studies RNA and protein synthesis mechanisms RNA modifications and cancer

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Bioinformatics

Volume 31, Issue 2, pp. 166-169

DOI: 10.1093/bioinformatics/btu638

Field-Weighted Citation Impact: 407.79