{
    "info": {
        "author": "William E Fondrie",
        "author_email": "fondriew@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "[![Build Status](https://travis-ci.org/wfondrie/ppx.svg?branch=master)](https://travis-ci.org/wfondrie/ppx) [![Documentation Status](https://readthedocs.org/projects/ppx/badge/?version=latest)](https://ppx.readthedocs.io/en/latest/?badge=latest)  \n\n\n# ppx: A Python interface to the ProteomeXchange Repository  \n\n## Overview  \nThe `ppx` package provides a simple means to access the [ProteomeXchange](http://www.proteomexchange.org/) repository from Python. Using ProteomeXchange identifiers, the user can retrieve metadata associated with a project and download project files from [PRIDE](https://www.ebi.ac.uk/pride/archive/).\n\n`ppx` is largely based on the `rpx` R package by Laurent Gatto ([Bioconductor](http://bioconductor.org/packages/release/bioc/html/rpx.html) and [GitHub](https://github.com/lgatto/rpx)).\n\nFor full documentation and examples, visit: https://ppx.readthedocs.io\n\n## Installation  \n`ppx` is `pip` installable. The `ppx` package is available for Python 3.6+ and only depends on packages in the Python Standard Library.\n\n```\npip3 install ppx\n```\n\n## Examples  \nFirst create a PXDataset object using a valid ProteomeXchange identifier:\n```Python\ndat = PXDataset(\"PXD000001\")\n```\n\nWe can then extract various data about the ProteomeXchange project from the PXDataset:\n```Python\ndat.pxref()\n# ['Gatto L, Christoforou A. Using R and Bioconductor for proteomics data\n# analysis. Biochim Biophys Acta. 2014 1844(1 pt a):42-51']\n\ndat.pxurl()\n# 'ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2012/03/PXD000001'\n\ndat.pxtax()\n# ['Erwinia carotovora']\n\ndat.pxfiles()\n# ['F063721.dat', 'F063721.dat-mztab.txt',\n# 'PRIDE_Exp_Complete_Ac_22134.xml.gz', 'PRIDE_Exp_mzData_Ac_22134.xml.gz',\n# 'PXD000001_mztab.txt', 'README.txt',\n# 'TMT_Erwinia_1uLSike_Top10HCD_isol2_45stepped_60min_01-20141210.mzML',\n# 'TMT_Erwinia_1uLSike_Top10HCD_isol2_45stepped_60min_01-20141210.mzXML',\n# 'TMT_Erwinia_1uLSike_Top10HCD_isol2_45stepped_60min_01.mzXML',\n# 'TMT_Erwinia_1uLSike_Top10HCD_isol2_45stepped_60min_01.raw',\n# 'erwinia_carotovora.fasta', 'generated']\n```\n\nLastly, we can download files that we're interested in:\n```Python\n# Download \"README.txt\" to the \"test\" directory\ndat.pxget(files=\"README.txt\", dest_dir=\"test\")\n```\n\n\n",
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