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Streamlining SLAM-seq analysis with ultra-high sensitivity

Streamlining SLAM-Seq analysis with ultra-high sensitivity.

GitHub release Travis CI

Docker Pulls Docker Automated build

install with bioconda Anaconda build Anaconda downloads

PyPI release Github Stars


Slamdunk documentation

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

nf-core slamseq workflow

nfcore/slamseq

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. BMC Bioinformatics, 20(1), 258. http://doi.org/10.1186/s12859-019-2849-7