Metadata-Version: 2.1
Name: ImmuneDB
Version: 0.27.0
Summary: A system for the analysis and exploration of high-throughput
        adaptive immune receptor sequencing data
Home-page: https://github.com/arosenfeld/immunedb
Author: Aaron M. Rosenfeld
Author-email: ar374@drexel.edu
License: LICENSE.txt
Description: ImmuneDB
        ========
        
        [![Build Status](https://img.shields.io/travis/arosenfeld/immunedb/master.svg)](https://travis-ci.org/arosenfeld/immunedb)
        [![Documentation Status](https://readthedocs.org/projects/immunedb/badge/?version=latest)](https://immunedb.readthedocs.io/en/latest/?badge=latest)
        [![codecov](https://codecov.io/gh/arosenfeld/immunedb/branch/master/graph/badge.svg)](https://codecov.io/gh/arosenfeld/immunedb)
        [![PyPI](https://img.shields.io/pypi/v/immunedb.svg)](https://pypi.python.org/pypi/ImmuneDB)
        [![Docker Pulls](https://img.shields.io/docker/pulls/arosenfeld/immunedb.svg)](https://hub.docker.com/r/arosenfeld/immunedb)
        
        ImmuneDB is a Python module that facilitates efficient storage and analysis of
        high-throughput B- and T-cell sequence data.
        
        # Documentation
        Installation and usage instructions can be found at [immunedb.com](http://immunedb.com)
        
        # Citing
        If you use ImmuneDB, please cite the tool as:
        
        Rosenfeld, A. M., Meng, W., Luning Prak, E. T., Hershberg, U., **ImmuneDB, a
        Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire
        Sequencing Data**. Frontiers in Immunology **9** (2018).
        
        ImmuneDB was originally announced previously in:
        
        Rosenfeld, A. M., Meng, W., Luning Prak, E. T., Hershberg, U.,
        **ImmuneDB: a system for the analysis and exploration of high-throughput
        adaptive immune receptor sequencing data**, Bioinformatics **33** (2016), no. 2,
        292–293.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
