pip install pypairix==0.3.7

Pypairix is a Python module for fast querying on a pairix-indexed bgzipped text file that contains a pair of genomic coordinates per line. For more information, see: https://github.com/4dn-dcic/pairix/blob/master/README.md.

Source
Among top 50% packages on PyPI.
Over 5.0K downloads in the last 90 days.

Commonly used with pypairix

Based on how often these packages appear together in public requirements.txt files on GitHub.

pyfaidx

pyfaidx: efficient pythonic random access to fasta subsequences

bioformats

Classes to handle bioinformatics data

pycrayon

Crayon client for python

intervaltree

Editable interval tree data structure for Python 2 and 3

exception

Extract unique Python exceptions with their traceback from a log file.

sphinxcontrib.datatemplates

Sphinx extension for rendering data files as nice HTML

bumper-lib

A library to bump / pin your dependency requirements.

bpforms

Unambiguous representation of modified DNA, RNA, and proteins

edlib

Lightweight, super fast library for sequence alignment using edit (Levenshtein) distance.

compare-reads

cythonized function to compare reads by name

weightedstats

Mean, weighted mean, median, weighted median

setuptools-markdown

[Deprecated] Use Markdown for your project description

rally

Generic Testing Framework & Tool that unifies all types of testing.

nomenclate

A tool for generating strings based on a preset naming convention.

git-pandas

A utility for interacting with data from git repositories as Pandas dataframes

mvtest

['GWAS analysis']

libgwas

['GWAS Parser Library']

rasterio

Fast and direct raster I/O for use with Numpy and SciPy

pybossa-pbs

PYBOSSA command line client

Version usage of pypairix

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.3.7

48.05%

0.3.6

3.39%

0.3.5

3.11%

0.3.4

3.09%

0.1.6

1.55%

0.3.1

1.53%

0.3.3

1.53%

0.3.2

1.51%

0.2.7

1.51%

0.3.0

1.49%

0.1.9

1.49%

0.2.2

1.49%

0.2.4

1.49%

0.2.8

1.49%

0.2.0

1.47%

0.0.8

1.47%

0.1.7

1.47%

0.0.1

1.47%

0.1.0

1.47%

0.1.2

1.45%

0.1.3

1.45%

0.2.1

1.45%

0.1.1

1.45%

0.1.5

1.45%

0.1.4

1.45%

0.2.6

1.45%

0.0.4

1.43%

0.0.2

1.43%

0.2.5

1.41%

0.0.6

1.41%

0.0.5

1.41%

0.0.3

1.39%

0.0.9

1.37%