Git Product home page Git Product logo

htseq's Introduction

Build Status Documentation Status

HTSeq

HTSeq is a Python library to facilitate processing and analysis of data from high-throughput sequencing (HTS) experiments.

Requirements

To use HTSeq you will need:

  • Python 2.7or Python >= 3.4 (tested up to 3.6)
  • numpy
  • pysam >= 0.9.0

To run the htseq-qa script, you will also need:

  • matplotlib >=1.4

To build the package from source, you will also need:

  • Cython
  • SWIG >=3.0.8

The latter packages are not required if you have already built HTSeq and are transferring the binaries onto another machine with a compatible environment (architechture, shared libraries). If you are not sure, chances are you need them.

Both Linux and OSX are supported and binaries are provided for virtually all Linux versions and for some OSX versions (the latter only for Python 2.7 and 3.6). A source package which should not require Cython nor SWIG is provided for all other cases.

Windows is not officially supported as we don't have access to a Continuous Integration Windows machine that supports pysam. However, if you have built HTSeq for Windows, please open an issue and we'll try and include it in the release.

Installation

PIP

To install directly from PyPI:

pip install HTSeq

To install a specific version (e.g. version 0.11.0):

pip install 'HTSeq==0.11.0'

If this fails, please install all dependencies first:

pip install 'matplotlib>=1.4'
pip install Cython
pip install 'pysam>=0.9'
pip install HTSeq

NOTE: pysam==0.9.0 has a bug so that pip Cython is required at installation. pysam>=0.10.0 should build without Cython.

Using setup.py (distutils/setuptools)

Install the dependencies with your favourite tool (pip, conda, etc.).

To install HTSeq itself, run:

python setup.py build install

Documentation

Please see:

http://htseq.readthedocs.io

htseq's People

Contributors

dcroote avatar iosonofabio avatar jbloom avatar paulpyl avatar saketkc avatar simon-anders avatar unode avatar wkopp avatar yhoogstrate avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.