Metadata-Version: 1.1
Name: svviz
Version: 1.2.0
Summary: A read visualizer for structural variants
Home-page: https://github.com/svviz/svviz
Author: Noah Spies
Author-email: nspies@stanford.edu
License: MIT
Description: .. image:: docs/example.png
            :width: 80%
            :align: center
        
        *****
        svviz
        *****
        
        Author: Noah Spies
        
        ``svviz`` visualizes high-throughput sequencing data relevant to a structural variant. Only reads supporting the variant or the reference allele will be shown. ``svviz`` can operate in both an interactive web browser view to closely inspect individual variants, or in batch mode, allowing multiple variants (annotated in a VCF file) to be analyzed simultaneously.
        
        Visit the `project site <http://svviz.github.io/svviz/>`_ for a tour of the features and example output.
        
        See the `documentation <http://svviz.readthedocs.org/>`_ for more detailed help, or run ``svviz -h`` to get help on command line arguments.
            
        Quickstart
        ==========
        
        1. Ensure that you have a working compiler by following `these instructions <http://railsapps.github.io/xcode-command-line-tools.html>`_ (OS X only) and that the python package `pip <https://pip.pypa.io/en/latest/installing.html>`_ is installed.
        2. Install the latest version of svviz from github using the following terminal command: ``sudo pip install -U svviz``. (The sudo may not be necessary depending on your setup.)
        3. Run the following command, which downloads example data and runs it through svviz: ``svviz demo``. After several processing steps, a web browser window should open, with separate, interactive views of the reference and alternate alleles.
        4. Please report any issues using the `github issue tracker <https://github.com/svviz/svviz/issues>`_.
        
        Manuscript
        ----------
        
        A preprint manuscript describing svviz is `available on bioRxiv <http://dx.doi.org/10.1101/016063>`_:
        
        Spies N, Zook JM, Salit M, Sidow A. svviz: a read viewer for validating structural variants. bioRxiv doi:10.1101/016063.
        
Keywords: bioinformatics,structural variants,sequence analysis
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
