SLAMdunk suite for analyzing SLAM-seq data
Project 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.
[](https://github.com/t-neumann/slamdunk/releases/latest) [](https://travis-ci.org/t-neumann/slamdunk)
[](https://hub.docker.com/r/tobneu/slamdunk) [](https://hub.docker.com/r/tobneu/slamdunk/builds/)
[](http://bioconda.github.io/recipes/slamdunk/README.html) [](https://anaconda.org/bioconda/slamdunk) [](https://anaconda.org/bioconda/slamdunk)
[](https://pypi.python.org/pypi/slamdunk) 
### 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
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