Metadata-Version: 1.0
Name: HiCExplorer
Version: 1.7
Summary: Set of programms to process, analyze and visualize Hi-C data
Home-page: http://hicexplorer.readthedocs.io
Author: Fidel Ramirez, Vivek Bhardwaj, Björn Grüning
Author-email: deeptools@googlegroups.com
License: LICENSE.txt
Description: .. image:: https://travis-ci.org/maxplanck-ie/HiCExplorer.svg?branch=master
           :target: https://travis-ci.org/maxplanck-ie/HiCExplorer
        .. image:: https://readthedocs.org/projects/hicexplorer/badge/?version=latest
           :target: http://hicexplorer.readthedocs.io/?badge=latest
        .. image:: https://anaconda.org/bioconda/hicexplorer/badges/installer/conda.svg
           :target: https://anaconda.org/bioconda/hicexplorer
        .. image:: https://quay.io/repository/biocontainers/hicexplorer/status
           :target: https://quay.io/repository/biocontainers/hicexplorer
        
        HiCExplorer
        ===========
        
        Set of programs to process, analyze and visualize Hi-C data
        -----------------------------------------------------------
        
        Sequencing techniques that probe the 3D organization of the genome generate large amounts of data whose processing,
        analysis and visualization is challenging. Here, we present Hi-C Explorer, a set of tools for the analysis and
        visualization of chromosome conformation data. Hi-C explorer facilitates the creation of contact matrices, correction
        of contacts, TAD detection, merging, reordering or chromosomes, conversion from different formats and detection of
        long-range contacts. Moreover, it allows the visualization of multiple contact matrices along with other types of
        data like genes, compartments, ChIP-seq coverage tracks (and in general any type of genomic scores) and long range contacts.
        
        
        Citation:
        ^^^^^^^^^
        
        Fidel Ramirez, Vivek Bhardwaj, Jose Villaveces, Laura Arrigoni, Bjoern A Gruening, Kin Chung Lam, Bianca Habermann, Asifa Akhtar, Thomas Manke
        **"High-resolution TADs reveal DNA sequences underlying genome organization in flies"**. bioRxiv 115063; doi: https://doi.org/10.1101/115063
        
        .. image:: ./docs/images/hicex2.png
        
        Installation
        ^^^^^^^^^^^^
        
        HiCExplorer is available for:
        
        -  Command line usage (via pip/anaconda/github)
        -  Integration into Galaxy servers (via toolshed/API/web-browser)
        
        There are many easy ways to install HiCExplorer. Details can be found
        `here <https://http://hicexplorer.readthedocs.io/content/installation.html>`__
        
        **Install by cloning this repository:**
        
        You can install any one of the HiCExplorer branches on command line
        (linux/mac) by cloning this git repository :
        
        ::
        
            $ git clone https://github.com/maxplanck-ie/HiCExplorer.git
            $ cd HiCExplorer
            $ python setup.py install
        
        If you don't have root permission, you can set a specific folder using the ``--prefix`` option
        
        ::
        
        	$ python setup.py install --prefix /User/Tools/hicexplorer
        
        
        Documentation:
        ^^^^^^^^^^^^^^
        Please visit our complete documentation `Here <http://hicexplorer.readthedocs.org/>`_
        
Platform: UNKNOWN
