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:target: https://pypi.python.org/pypi/igdiscover
.. image:: https://travis-ci.org/NBISweden/IgDiscover.svg?branch=master
:target: https://travis-ci.org/NBISweden/IgDiscover
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: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/>`_
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.. figure:: https://raw.githubusercontent.com/NBISweden/IgDiscover/master/doc/clusterplot.jpeg
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