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Oxford University Press (OUP), Bioinformatics, 2(31), p. 166-169

DOI: 10.1093/bioinformatics/btu638

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

Journal article published in 2014 by Simon Anders ORCID, Paul Theodor Pyl, Wolfgang Huber ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed.