A framework to process and analyze data from high-throughput sequencing (HTS) assays
Project description
HTSeq
DEVS: https://github.com/htseq/htseq
DOCS: https://htseq.readthedocs.io
A Python library to facilitate processing and analysis of data
from high-throughput sequencing (HTS) experiments. A popular use of HTSeq
is htseq-count, a tool to quantify gene expression in RNA-Seq and similar
experiments.
Requirements
To use HTSeq you will need:
Python >= 3.6(note:Python 2.7support has been dropped)numpypysam
To run the htseq-qa script, you will also need:
matplotlib
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 develop HTSeq you will also need:
Cython >=0.29.5SWIG >=3.0.8
Installation
PIP
To install directly from PyPI:
pip install HTSeq
To install a specific version:
pip install 'HTSeq==0.14.0'
If this fails, please install all dependencies first:
pip install matplotlib
pip install Cython
pip install pysam
pip install HTSeq
setup.py (distutils/setuptools)
Install the dependencies with your favourite tool (pip, conda,
etc.).
To install HTSeq itself, run:
python setup.py build install
Authors
- Since 2016: Fabio Zanini @ http://fabilab.org.
- 2020-2015: Simon Anders, Wolfgang Huber
Project details
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