Metadata-Version: 2.1
Name: epivizFileServer
Version: 0.1.7.7
Summary: A python library to interact, explore and compute data directly from genomic files.
Home-page: https://github.com/epiviz/epivizFileParser
Author: Jayaram Kancherla
Author-email: jayaram.kancherla@gmail.com
License: mit
Description: ==================
        Epiviz File Server
        ==================
        
        .. image:: https://readthedocs.org/projects/epivizfileserver/badge/?version=latest
            :target: https://epivizfileserver.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://travis-ci.org/epiviz/epivizFileServer.svg?branch=master
            :target: https://travis-ci.org/epiviz/epivizFileServer
        
        Compute and Query Parser for Genomic Files
        
        
        Description
        ===========
        
        
        Epiviz file Server is a Python library, to query genomic files, 
        not only for visualization but also for transformation. 
        The library provides various modules to perform various tasks - 
        - Parser to read various genomic file formats, 
        - Query to access only necessary bytes of file, 
        - Compute to apply transformations on data, 
        - Server to instantly convert the datasets into an API and 
        - Visualization. 
        
        
        A quick overview of the library and its features, are described in an IPython notebook 
        available at - https://epiviz.github.io/post/2019-02-04-epiviz-fileserver/
        
        Note
        ====
         
        1. The library requires the server hosting the data files to support HTTP range requests so that the file server's parser module can only request the necessary byte-ranges needed to process the query
        2. The library currently supports indexed genomic file formats like BigWig, BigBed, Bam (with bai), Sam (with sai) or any genomic data file that can be indexed using tabix.
        
        Developer Notes
        ===============
        
        This project has been set up using PyScaffold 3.1. For details and usage
        information on PyScaffold see https://pyscaffold.org/.
        
        use a virtualenv for testing & development. 
        To setup run the following commands from the project directory
        
        .. code-block:: python
        
            virtualenv env --python=python3
            source env/bin/activate # (activate.fish if using the fish-shell)
            pip install -r requirements.txt
        
            # to deactivate virtualenv
            deactivate
        
        1. Test - ```python setup.py test```
        2. Docs - ```python setup.py docs```
        3. Build
            - source distribution  ```python setup.py sdist```
            - binary distribution  ```python setup.py bdist```
            - wheel  distribution  ```python setup.py bdist_wheel```
        
Platform: any
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
Provides-Extra: testing
