CITATION (please cite this new paper!): Putri et al. Analysing high-throughput sequencing data in Python with HTSeq 2.0. Bioinformatics, btac166, https://doi.org/10.1093/bioinformatics/btac166 (2022).
A Python library to facilitate programmatic analysis of data
from high-throughput sequencing (HTS) experiments. A popular component of HTSeq
is htseq-count, a script to quantify gene expression in bulk and single-cell RNA-Seq
and similar experiments.
Requirements
To use HTSeq you need:
Python >= 3.7 (note: Python 2.7 support has been dropped)
numpy
pysam
To manipulate BigWig files, you also need:
pyBigWig
To run the htseq-qa script, you also need:
matplotlib
To run htseq-count and htseq-count-barcodes with custom output formats for the counts table, you need:
mtx file: scipy
h5ad file: anndata
loom file: loompy
Both Linux and OSX are supported and binaries are provided on Pypi. We
would like to support Windows but currently lack the expertise to do so. If
you would like to take on the Windows release and maintenance, please open an
issue and we’ll try to help.
A source package which should not require Cython nor SWIG is also
provided on Pypi.
To developHTSeq you will also need:
Cython >=0.29.5
SWIG >=3.0.8
Installation
PIP
To install directly from PyPI:
pip install HTSeq
To install a specific version:
pip install 'HTSeq==2.0.0'
If this fails, please install all dependencies first:
HTSeq
DEVS: https://github.com/htseq/htseq
DOCS: https://htseq.readthedocs.io
CITATION (please cite this new paper!): Putri et al. Analysing high-throughput sequencing data in Python with HTSeq 2.0. Bioinformatics, btac166, https://doi.org/10.1093/bioinformatics/btac166 (2022).
A Python library to facilitate programmatic analysis of data from high-throughput sequencing (HTS) experiments. A popular component of
HTSeqishtseq-count, a script to quantify gene expression in bulk and single-cell RNA-Seq and similar experiments.Requirements
To use
HTSeqyou need:Python >= 3.7(note:Python 2.7support has been dropped)numpypysamTo manipulate BigWig files, you also need:
pyBigWigTo run the
htseq-qascript, you also need:matplotlibTo run
htseq-countandhtseq-count-barcodeswith custom output formats for the counts table, you need:mtxfile:scipyh5adfile:anndataloomfile:loompyBoth Linux and OSX are supported and binaries are provided on Pypi. We would like to support Windows but currently lack the expertise to do so. If you would like to take on the Windows release and maintenance, please open an issue and we’ll try to help.
A source package which should not require
CythonnorSWIGis also provided on Pypi.To develop
HTSeqyou will also need:Cython >=0.29.5SWIG >=3.0.8Installation
PIP
To install directly from PyPI:
To install a specific version:
If this fails, please install all dependencies first:
setup.py (distutils/setuptools)
Install the dependencies with your favourite tool (
pip,conda, etc.).To install
HTSeqitself, run:Testing
To test locally, run
To test
htseq-countalone, run it with the-ooption.A virtual environment is created in the
.venvfolder andHTSeqis installed inside it, including all modules and scripts.Authors