Metadata-Version: 1.2
Name: sequana-downsampling
Version: 0.8.2
Summary: downsample NGS data setse
Home-page: https://github.com/sequana/
Author: thomas cokelaer
Author-email: thomas.cokelaer@pasteur.fr
Maintainer: thomas cokelaer
Maintainer-email: thomas.cokelaer@pasteur.fr
License: new BSD
Description: This is is the **downsampling** pipeline from the `Sequana <https://sequana.readthedocs.org>`_ project
        
        :Overview: downsample NGS data sets
        :Input: a set of FastQ or FASTA files 
        :Output: a set of downsampled files
        :Status: mature
        :Citation: Cokelaer et al, (2017), ‘Sequana’: a Set of Snakemake NGS pipelines, Journal of Open Source Software, 2(16), 352, JOSS DOI doi:10.21105/joss.00352
        
        
        Installation
        ~~~~~~~~~~~~
        
        You must install Sequana first::
        
            pip install sequana
        
        Then, just install this package::
        
            pip install sequana_downsampling
        
        
        Usage
        ~~~~~
        
        ::
        
            sequana_pipelines_downsampling --help
            sequana_pipelines_downsampling --input-directory DATAPATHH
            sequana_downsampling --downsampling-method random --downsampling-max-entries 100
        
        
        This creates a directory with the pipeline and configuration file. You will then need 
        to execute the pipeline::
        
            cd downsampling
            sh downsampling.sh  # for a local run
        
        This launch a snakemake pipeline. If you are familiar with snakemake, you can 
        retrieve the pipeline itself and its configuration files and then execute the pipeline yourself with specific parameters::
        
            snakemake -s downsampling.rules -c config.yaml --cores 4 --stats stats.txt
        
        Or use `sequanix <https://sequana.readthedocs.io/en/master/sequanix.html>`_ interface.
        
        Requirements
        ~~~~~~~~~~~~
        
        This pipelines requires the following executable(s):
        
        - sequana
        - pigz
        
        .. .. image:: https://raw.githubusercontent.com/sequana/sequana_downsampling/master/sequana_pipelines/downsampling/dag.png
        
        
        Details
        ~~~~~~~~~
        
        This pipeline runs **downsampling** in parallel on the input fastq or fasta files (paired or not). 
        
        
        Rules and configuration details
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        Here is the `latest documented configuration file <https://raw.githubusercontent.com/sequana/sequana_downsampling/master/sequana_pipelines/downsampling/config.yaml>`_
        to be used with the pipeline. Each rule used in the pipeline may have a section in the configuration file. 
        
        
        Changelog
        ~~~~~~~~~
        
        ========= ====================================================================
        Version   Description
        ========= ====================================================================
        0.8.2     * add a --run option to execute the pipeline directly
        0.8.1     * fix input and N in the random selection
        0.8.0     **First release.**
        ========= ====================================================================
        
        
        
Keywords: NGS, sequana, snakemake, fastq, downsampling
Platform: Linux
Platform: Unix
Platform: MacOsX
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
