Metadata-Version: 1.1
Name: MiModD
Version: 0.1.7.2
Summary: Tools for Mutation Identification in Model Organism Genomes using Desktop PCs
Home-page: http://sourceforge.net/projects/mimodd/
Author: Wolfgang Maier
Author-email: wolfgang.maier@biologie.uni-freiburg.de
License: GPL
Download-URL: http://sourceforge.net/projects/mimodd/
Description: MiModD - Identify Mutations from Whole-Genome Sequencing Data
        *************************************************************
        
        MiModD is an integrated solution for efficient and user-friendly analysis of 
        whole-genome sequencing (WGS) data from laboratory model organisms. 
        It enables geneticists to identify and annotate the genetic mutations present 
        in an organism and to perform linkage analyses to identify variants responsible 
        for mutant phenotypes.
        
        MiModD is designed to enable biologists/geneticists with limited 
        bioinformatical knowledge to analyze their genome-wide sequencing data without 
        the help of a trained bioinformatician.
        
        
        Requirements
        ============
        
        MiModD can be installed under Linux and OS X (10.9-10.11) with minimal software 
        requirements and a simple setup procedure. As a standalone package it can be 
        used from the command line, but can also be integrated seamlessly and easily 
        into any local installation of a Galaxy bioinformatics server providing a 
        graphical user interface, database management of results and simple composition 
        of analysis steps into workflows.
        
        Hardware
        --------
        
        For many use cases MiModD performs very well on standard desktop PCs and 
        notebooks. Detailed information on hardware requirements and recommendations is 
        available at http://mimodd.readthedocs.org/en/latest/hardware.html.
        
        Software
        --------
        
        MiModD requires Python 3.2 or higher. Python 2 is not supported.
        
        
        Obtaining and installing MiModD
        ===============================
        
        MiModD is pip-installable via::
        
          python3 -m pip install MiModD
          
        Once installed successfully, run::
        
          python3 -m MiModD.config
          
        for basic configuration.
          
        More detailed installation instructions for MiModD, dependencies and 
        recommended additional software can be found in the INSTALL file included in 
        the source distribution or at 
        http://mimodd.readthedocs.org/en/latest/INSTALL.html.
        
        
        Documentation and help
        ======================
        
        We have prepared a detailed `online documentation 
        <http://mimodd.readthedocs.org/en/latest/>`_ of the package including a tutorial for 
        beginners. If you experience problems with any part of MiModD or you think you 
        found a bug in the software, the preferred way of letting us and others know is 
        through posting to the MiModD user group at 
        https://groups.google.com/forum/#!forum/mimodd or via email to 
        mimodd@googlegroups.com.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
