Metadata-Version: 1.2
Name: igdiscover
Version: 0.12.3
Summary: Analyze antibody repertoires and discover new V genes
Home-page: https://igdiscover.se/
Author: Marcel Martin
Author-email: marcel.martin@scilifelab.se
License: MIT
Description: .. image:: https://img.shields.io/pypi/v/igdiscover.svg?branch=master
            :target: https://pypi.python.org/pypi/igdiscover
        
        .. image:: https://travis-ci.org/NBISweden/IgDiscover.svg?branch=master
            :target: https://travis-ci.org/NBISweden/IgDiscover
        
        .. image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg
            :target: http://bioconda.github.io/recipes/igdiscover/README.html
        
        
        ==========
        IgDiscover
        ==========
        
        IgDiscover analyzes antibody repertoires and discovers new V genes from high-throughput sequencing reads.
        Heavy chains, kappa and lambda light chains are supported (to discover VH, VK and VL genes).
        
        IgDiscover is the result of a collaboration between the `Gunilla Karlsson Hedestam group <http://ki.se/en/mtc/gunilla-karlsson-hedestam-group>`_
        at the `Department of Microbiology, Tumor and Cell Biology <http://ki.se/en/mtc/>`_ at `Karolinska Institutet <http://ki.se/en/>`_,
        Sweden and the `Bioinformatics Long-Term Support <https://www.scilifelab.se/facilities/wabi/>`_ facility
        at `Science for Life Laboratory (SciLifeLab) <https://www.scilifelab.se/>`_, Sweden.
        
        If you use IgDiscover, please cite:
        
            | Corcoran, Martin M. and Phad, Ganesh E. and Bernat, Néstor Vázquez and Stahl-Hennig,
              Christiane and Sumida, Noriyuki and Persson, Mats A.A. and Martin, Marcel and
              Karlsson Hedestam, Gunilla B.
            | *Production of individualized V gene databases reveals high levels of immunoglobulin genetic
              diversity.*
            | Nature Communications 7:13642 (2016)
            | https://dx.doi.org/10.1038/ncomms13642
        
        
        Links
        -----
        
        * `Documentation <http://docs.igdiscover.se/>`_
        * `Source code <https://github.com/NBISweden/IgDiscover/>`_
        * `Report an issue <https://github.com/NBISweden/IgDiscover/issues>`_
        * `Project page on PyPI (Python package index) <https://pypi.python.org/pypi/igdiscover/>`_
        
        |
        
        .. figure:: https://raw.githubusercontent.com/NBISweden/IgDiscover/master/doc/clusterplot.jpeg
        
        |
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.6
