Metadata-Version: 2.0
Name: PyDAIR
Version: 0.1.14
Summary: Python library for diversity analysis of immune repertoire
Home-page: https://biunit.org/pydair
Author: biunit
Author-email: pydair@biunit.org
License: GNU
Keywords: blast,bioinformatics
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Requires-Dist: biopython
Requires-Dist: jinja2
Requires-Dist: matplotlib (>=1.4)
Requires-Dist: pandas

.. image:: https://travis-ci.org/bioinfoteam/PyDAIR.svg?branch=master
    :target: https://travis-ci.org/bioinfoteam/PyDAIR



======
PyDAIR
======


Sequencing immunoglobulin using high-throughput sequencing platform (Ig-Seq)
enables to snapshot the adaptive immune repertoires,
giving us the insights to better understanding immune responses in health and disease.
Large amounts of raw data produced by Ig-Seq require effective ways for anlaysis.
PyDAIR is a tool that aims to identify V, D, J and CDR3 segments,
and detects insertions and deletions on V-D and D-J junctions.


* Documents: `Document <https://biunit.org/pydair/>`_
* PyPI package: `PyPI <https://pypi.python.org/pypi/PyDAIR/>`_
* Source code: `GitHub <https://github.com/biunit/PyDAIR>`_




