4.7 Article

Analysing high-throughput sequencing data in Python with HTSeq 2.0

期刊

BIOINFORMATICS
卷 38, 期 10, 页码 2943-2945

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac166

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资金

  1. National Health and Medical Research Council [GNT1200271]
  2. long-term European Molecular Biology Organization Fellowship [ALTF 269-2016]

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HTSeq 2.0 provides an expanded application programming interface, including a new representation for sparse genomic data, enhancements for htseq-count to accommodate single-cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes, and Python 3 support.
A 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.

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