Metadata-Version: 2.1
Name: tcrsampler
Version: 0.1.1
Summary: Sample TCRs according to VDJ gene usage frequency
Home-page: https://github.com/kmayerb/tcrsampler
Author: Koshlan Mayer-Blackwell
Author-email: kmayerbl@fredhutch.org
Maintainer: Koshlan Mayer-Blackwell
Maintainer-email: kmayerbl@fredhutch.org
License: MIT
Description: # tcrsampler
        
        Sample TCRs according to VDJ gene usage frequency
        
        [![Build Status](https://travis-ci.com/kmayerb/tcrsampler.svg?branch=master)](https://travis-ci.com/kmayerb/tcrsampler)
        [![Coverage Status](https://coveralls.io/repos/github/kmayerb/tcrsampler/badge.svg?branch=master)](https://coveralls.io/github/kmayerb/tcrsampler?branch=master)
        [![PyPI version](https://badge.fury.io/py/tcrsampler.svg)](https://badge.fury.io/py/tcrsampler)
        
        ## Install 
        
        ```
        pip install tcrsampler
        ```
        
        Install default reference files:
        
        ```
        python -c "from tcrsampler.setup_db import install_all_next_gen; install_all_next_gen(dry_run = False)"
        ```
        
        ### Example
        
        ```python
        from tcrsampler.sampler import TCRsampler
        t = TCRsampler(organism = 'human',db_file = 'alphabeta_db.tsv', ref_file= 'new_nextgen_chains_human_B.tsv')
        t.make_ref_dict(max_sample = 100)
        t.sample_ref_dict('TRBV1*01', 'TRBJ1-1*01',1)
        t.sample([['TRBV1*01', 'TRBJ1-1*01',1], ['TRBV2*01', 'TRBJ1-1*01',1]])
        ```
Platform: UNKNOWN
Description-Content-Type: text/markdown
