Set of tools related to Bioinformatics (e.g., visualisation)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cokelaer from gravatar.com cokelaer

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

BioKit

General Bioinformatics tools in Python

https://badge.fury.io/py/biokit.svg https://img.shields.io/pypi/pyversions/biokit.svg https://github.com/biokit/biokit/actions/workflows/main.yml/badge.svg https://coveralls.io/repos/biokit/biokit/badge.png?branch=master Documentation Status
note:

BioKit is tested with Travis for the following Python version: 3.7, 3.8, 3.9

contributions:

Please join https://github.com/biokit/biokit

issues:

Please use https://github.com/biokit/biokit/issues

http://pythonhosted.org/biokit/_images/biokit.gif

Contents

BioKit is a set of tools gathered from several other Python packages. The goal is to gather tools that should be useful to develop computational biology software. Biokit contains a few plotting tools (viz module), some statistical analysis (mixture model), some tools to access to Taxon and GO identifier, some basic tools to manipulate sequences and so on. It is linked to BioServices package to provide access to biological resources. Lots of biological software are developed in R. We have also added a module to ease the installation and usage of R tools within BioKit.

WARNING: This package is maintained and used in production but its contents are moving slowly to another project called sequana (sequana.readthedocs.io) (.e.g mixture model from biokit.stats and biokit.viz will most probably be moved in the current of 2021-2022).

Installation

pip install biokit

or from bioconda:

conda install bioconda

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page