Metadata-Version: 1.2
Name: coconet-binning
Version: 0.3
Summary: A contig binning tool from viral metagenomes
Home-page: https://github.com/Puumanamana/CoCoNet
Author: Arisdakessian Cedric
Author-email: carisdak@hawaii.edu
License: Apache License 2.0
Description: CoCoNet documentation
        =====================
        
        .. image:: https://travis-ci.org/Puumanamana/CoCoNet.svg?branch=master
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        Citation (Work in progress)
        ---------------------------
        Arisdakessian C., Nigro O., Steward G., Poisson G., Belcaid M.
        CoCoNet: An Efficient Deep Learning Tool for Viral Metagenome Binning
        
        Description
        -----------
        
        CoCoNet (Composition and Coverage Network) is a binning method for viral metagenomes. It leverages the flexibility and the effectiveness of deep learning models to learn the probability density function of co-occurrence of contigs in the same genome and therefore provides a rigorous probabilistic framework for binning contigs. The derived probability are then used to compute an adjacency matrix for a subset of strategically selected contigs, and infer homogenous clusters representing contigs of the same genome.
        
        Install
        -------
        
        CoCoNet is available on PyPi and can be installed with pip:
        
        .. code-block:: bash
        
           pip3 install coconet-binning --user
        
        Usage
        -----
        
        CoCoNet is available in the command line. For a list of all the options, open a terminal and run:
        
        .. code-block:: bash
        
            coconet -h
        
        For more details, please see the documentation on `ReadTheDocs <https://coconet.readthedocs.io/en/latest/index.html>`_
        
        Contribute
        ----------
        
        - Issue Tracker: `github <https://github.com/Puumanamana/CoCoNet/issues>`__
        - Source Code: `github <https://github.com/Puumanamana/CoCoNet>`__
        
Keywords: binning metagenomics deep learning virus clustering
Platform: UNKNOWN
Requires-Python: >=3.6
