Analysing high-throughput sequencing data in Python with HTSeq 2.0.
Analysing high-throughput sequencing data in Python with HTSeq 2.0.
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DOI：
10.1093/bioinformatics/btac166
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发表时间：
2022-05-13
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HTSeq 2.0 提供了更广泛的应用程序编程接口，包括稀疏基因组数据的新表示、htseq-count 的增强功能以适应单细胞组学、使用细胞和分子条形码的新数据脚本、改进的文档、测试和部署、错误修复和 Python 3 支持。 HTSeq 2.0 作为 GNU 通用公共许可证下的开源软件发布，可从 Python 包索引 https://pypi.python.org/pypi/HTSeq 获取。源代码可在 Github 上获取：https://github.com/htseq/htseq。 补充数据可在生物信息学在线获取。
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. 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 data are available at Bioinformatics online.