Metadata-Version: 1.1
Name: biokit
Version: 0.2.0
Summary: Access to Biological Web Services from Python
Home-page: ['http://pypi.python.org/pypi/biokit']
Author: Thomas Cokelaer
Author-email: cokelaer@gmail.com
License: BSD
Download-URL: ['http://pypi.python.org/pypi/biokit']
Description: BioKit
        ==========
        
        Bioinformatics tools in Python
        
        
        
        
        .. image:: https://badge.fury.io/py/biokit.svg
            :target: https://pypi.python.org/pypi/biokit
        
        .. image:: https://secure.travis-ci.org/biokit/biokit.png
            :target: http://travis-ci.org/biokit/biokit
        
        .. image:: https://coveralls.io/repos/cokelaer/biokit/badge.png?branch=master 
           :target: https://coveralls.io/r/cokelaer/biokit?branch=master 
        
        
        
        :note: BioKit is tested with Travis for the following Python version: 2.7.9
               3.3.5, 3.4.2 and 3.5.0
        
        :contributions: Please join https://github.com/biokit/biokit and share your notebooks https://github.com/biokit/biobooks/
        :issues: Please use https://github.com/biokit/biokit/issues
        
        
        .. image:: http://pythonhosted.org/biokit/_images/biokit.gif
            :target: http://pythonhosted.org/biokit/_images/biokit.gif
        
        Contents
        ===============
        
        BioKit is a set of tools gathered from several other Python packages. 
        So far, it contains a few plotting tools (viz module), some statistical
        analysis, 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.
        
        
        testing
        ==========
        
        From travis, coverage is about 50% at the moment, which is low because some tests are ignored. Tests ignored are
        those that are slow or required R dependencies. To be ignored, we filled the setup.cfg with an option called **attr**. 
        IF you comment that attribute in the **setup.cfg** and run ::
        
            python setup.py nosetests
            
        You should reach a higher coverage (about 70%)    
        
Keywords: corrplot,heatmap
Platform: Linux
Platform: Unix
Platform: MacOsX
Platform: Windows
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
