Metadata-Version: 2.1
Name: epigeec-analysis
Version: 1.2.2
Summary: Analysis tools for epiGeEC
Home-page: https://bitbucket.org/labjacquespe/epigeec_analysis
Author: Simon Hébert-Deschamps
Author-email: simon.hebert-deschamps@usherbrooke.ca
License: UNKNOWN
Description: # epiGeEC Analysis #
        
        The **epiGenomic Efficient Correlator (epiGeEC) Analysis** is a suite of tools to process, annotate and analyse correlation matrices generated by [**epiGeEC**](https://bitbucket.org/labjacquespe/epigeec/src/master/). A galaxy implementation featuring these tools and including thousands of pre-computed public epigenomic datasets is availalble at <http://epigeec.genap.ca/galaxy/>.
        
        ### Installation
        
        Linux/x64 is the only OS currently supported, but it can work on any platform with python and pip installed.
        
        #### Dependencies
        
        You will need pip to install the python package, use the following command if not already installed
        
        	sudo apt-get install python-pip
        
        Pip will attempt to install all dependencies but most likely will fail
        
        See documentation on how to install [pandas](https://github.com/svaksha/PyData-Workshop-Sprint/wiki/linux-install-pandas).
        
        You might have more success with
        
        	sudo apt-get install python-pandas
        
        #### Install epiGeEC Analysis
        
            sudo pip install epigeec-analysis
        
        ### How To Use
        
        This tool suite provide multiple analysis program.
        
        For more info on each parameter use the help flag
        
        	epigeec-analysis [tool] --help
        
        #### Annotate matrix
        
        Essentialy, this tool apply a hierachical cluster method on a correlation matrix to
        regroup datasets in clusters associated with their metadatas.
        
        ![Hierarchical clustering](images/img5.jpg)
        
        
        
            epigeec-analysis annotate --pdf output.pdf --tsv output.tsv epiGeEC_Correlate.mat epiGeEC_Datasets.json assay cell_type timepoint
        
        #### Evaluate clusters
        
            epigeec-analysis evaluate epiGeEC_Correlate.mat epiGeEC_Datasets.json -b assay cell_type timepoint -r assay cell_type timepoint > output.ari
        
        ### License
        
        [GNU General Public License v3](LICENSE)
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Classifier: Environment :: Console
Requires-Python: >=2.7.5, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4
Description-Content-Type: text/markdown
