Metadata-Version: 2.1
Name: htseq-clip
Version: 2.13.2b0
Summary: htseq-clip: a toolset for the analysis of eCLIP/iCLIP datasets
Home-page: https://github.com/EMBL-Hentze-group/htseq-clip
Author: Thomas Schwarzl, Sudeep Sahadevan, Marko Fritz, Nadia Ashraf
Author-email: schwarzl@embl.de, sudeep.sahadevan@embl.de
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Environment :: Console
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Requires-Dist: HTSeq (==0.13.5)
Requires-Dist: pysam

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# htseq-clip

htseq-clip is a toolset for the analysis of eCLIP/iCLIP datasets. 
This python package can be used to generate files necessary for 
data analysis using the companion R/Bioconductor package [DEWSeq](https://bioconductor.org/packages/release/bioc/html/DEWSeq.html).

URL: https://github.com/EMBL-Hentze-group/htseq-clip

Documentation: https://htseq-clip.readthedocs.io/en/latest/index.html 

BugReports: https://github.com/EMBL-Hentze-group/htseq-clip/issues

installation: `pip install htseq-clip`

Copyright (c) 2020 Sudeep Sahadevan, Marko Fritz, Nadia Ashraf and Thomas Schwarzl*

*Project lead: Thomas Schwarzl

[Matthias Hentze](https://www.embl.de/research/units/directors_research/hentze/index.html) and    
[Wolfgang Huber](https://www.embl.de/research/units/genome_biology/huber/index.html) Labs,   
[EMBL, Heidelberg](https://www.embl.de/). 

