Metadata-Version: 1.1
Name: slamdunk
Version: 0.4.3
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+)
Description: <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)
        
        [![PyPI release](https://img.shields.io/pypi/v/slamdunk.svg)](https://pypi.python.org/pypi/slamdunk)
        ![Github Stars](https://img.shields.io/github/stars/t-neumann/slamdunk.svg?style=social&label=Star)
        
        -----
        
        ### 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
        
        
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
