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        "author": "University of Ljubljana, Bioinformatics Laboratory",
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            "Programming Language :: Python",
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        "description": "|Build Status| |PyPI version| |codecov| |Codacy Badge| |CLA assistant|\n|Docker Automated build| |Documentation Status|\n\niCount: protein-RNA interaction analysis\n========================================\n\niCount is a Python module and associated command-line interface (CLI),\nwhich provides all the commands needed to process iCLIP data on\nprotein-RNA interactions and generate:\n\n-  demultiplexed and adapter-trimmed FASTQ files,\n-  BAM files with mapped iCLIP reads,\n-  identified protein-RNA cross-linked sites, saved to BED files,\n-  peaks composed of statistically significant cross-linked sites, saved\n   to BED files,\n-  clusters of significant cross-linked sites, saved to BED files,\n-  grouping of individual replicate experiments,\n-  RNAmap generation showing the positional distribution of cross-linked\n   sites relative to genomic landmarks,\n-  kmer enrichment analysis,\n-  and other.\n\nYou may start with the\n`tutorial <http://icount.readthedocs.io/en/latest/tutorial.html>`__ or\ndive into the\n`documentation <http://icount.readthedocs.io/en/latest/index.html>`__.\n\nAuthors\n-------\n\niCount is developed and supported by `Toma\u017e Curk <http://curk.info>`__\nfrom the `Bioinformatics Laboratory <http://biolab.si>`__ at the\n`University of Ljubljana <http://www.uni-lj.si>`__, `Faculty of Computer\nand Information Science <http://www.fri.uni-lj.si>`__ and in\ncollaboration with the laboratory of `Jernej\nUle <http://ulelab.info>`__.\n\nThe development started in late 2008 when Toma\u017e Curk and Gregor Rot\nwrote a first prototype of iCount. In mid-2016, `Jure\nZmrzlikar <https://github.com/JureZmrzlikar>`__ from\n`Genialis <http://www.genialis.com>`__ helped refactoring and improving\nthe code, which is now available here. For details and full\nacknowledgments, see the `how to\ncite <http://icount.readthedocs.io/en/latest/cite.html>`__ section in\nthe documentation.\n\nContributing\n------------\n\nContributions (pull requests) are welcome! Please submit your\ncontributions by following the\n`guidelines <http://icount.readthedocs.io/en/latest/contributing.html>`__.\n\nReporting problems\n------------------\n\nUse the `issues page <https://github.com/tomazc/iCount/issues>`__ to\nreport issues and request enhancements. Before submitting, please check\nthe list of already reported issues. Also, have a look at the\n`FAQ <http://icount.readthedocs.io/en/latest/faq.html>`__ to see if the\nproblem has been addressed already.\n\n.. |Build Status| image:: https://travis-ci.org/tomazc/iCount.svg?branch=master\n   :target: https://travis-ci.org/tomazc/iCount\n.. |PyPI version| image:: https://badge.fury.io/py/iCount.svg\n   :target: https://badge.fury.io/py/iCount\n.. |codecov| image:: https://codecov.io/gh/tomazc/iCount/branch/master/graph/badge.svg?token=JhUJ66rnJ3\n   :target: https://codecov.io/gh/tomazc/iCount\n.. |Codacy Badge| image:: https://api.codacy.com/project/badge/Grade/b77d104b59a74946bf8905f82dd381e4\n   :target: https://www.codacy.com/app/tomazc/iCount?utm_source=github.com&utm_medium=referral&utm_content=tomazc/iCount&utm_campaign=Badge_Grade\n.. |CLA assistant| image:: https://cla-assistant.io/readme/badge/tomazc/iCount\n   :target: https://cla-assistant.io/tomazc/iCount\n.. |Docker Automated build| image:: https://img.shields.io/docker/automated/jrottenberg/ffmpeg.svg\n   :target: https://hub.docker.com/r/tomazc/icount/\n.. |Documentation Status| image:: https://readthedocs.org/projects/icount/badge/?version=latest\n   :target: http://icount.readthedocs.io/en/latest/?badge=latest",
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