Metadata-Version: 2.1
Name: slamdunk
Version: 0.4.0
Summary: SLAMdunk suite for analyzing SLAM-seq data
Home-page: http://t-neumann.github.io/slamdunk
Author: Tobias Neumann, Philipp Rescheneder
Author-email: tobias.neumann.at@gmail.com, philipp.rescheneder@univie.ac.at
License: GNU Affero General Public License v3 or later (AGPLv3+)
Keywords: Next-Generation-Sequencing NGS QuantSeq SLAMSeq
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: C++
Classifier: Programming Language :: Java
Requires-Dist: joblib (>=0.9.4)
Requires-Dist: pybedtools (>=0.6.4)
Requires-Dist: intervaltree (>=2.1.0)
Requires-Dist: pandas (>=0.13.1)
Requires-Dist: biopython (>=1.63)
Requires-Dist: pysam (>=0.8.3)
Requires-Dist: Cython (>=0.20.1)

<img src="http://t-neumann.github.io/slamdunk/images/slamdunk_logo_light.png" width="300" title="Slamdunk">

### Streamlining SLAM-Seq analysis with ultra-high sensitivity.

[![GitHub release](https://img.shields.io/github/release/t-neumann/slamdunk.svg)](https://github.com/t-neumann/slamdunk/releases/latest)
[![Travis CI](https://img.shields.io/travis/t-neumann/slamdunk.svg)](https://travis-ci.org/t-neumann/slamdunk)

[![Docker Pulls](https://img.shields.io/docker/pulls/tobneu/slamdunk.svg)](https://hub.docker.com/r/tobneu/slamdunk)
[![Docker Automated build](https://img.shields.io/docker/automated/tobneu/slamdunk.svg)](https://hub.docker.com/r/tobneu/slamdunk/builds/)

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square)](http://bioconda.github.io/recipes/slamdunk/README.html)
[![Anaconda build](https://anaconda.org/bioconda/slamdunk/badges/version.svg
)](https://anaconda.org/bioconda/slamdunk)
[![Anaconda downloads](https://anaconda.org/bioconda/slamdunk/badges/downloads.svg
)](https://anaconda.org/bioconda/slamdunk)

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-----

### Slamdunk documentation

http://t-neumann.github.io/slamdunk

### Please cite

Neumann, T., Herzog, V. A., Muhar, M., Haeseler, von, A., Zuber, J., Ameres, S. L., & Rescheneder, P. (2019). [Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2849-7). BMC Bioinformatics, 20(1), 258. http://doi.org/10.1186/s12859-019-2849-7



