https://github.com/t-neumann/slamdunk
Streamlining SLAM-seq analysis with ultra-high sensitivity
https://github.com/t-neumann/slamdunk
bioinformatics computational-biology docker-image pypi quant-seq rna-seq slamseq transcription
Last synced: 5 months ago
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Streamlining SLAM-seq analysis with ultra-high sensitivity
- Host: GitHub
- URL: https://github.com/t-neumann/slamdunk
- Owner: t-neumann
- License: agpl-3.0
- Created: 2016-05-10T14:01:11.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2024-05-22T00:25:52.000Z (11 months ago)
- Last Synced: 2024-10-30T05:56:49.341Z (6 months ago)
- Topics: bioinformatics, computational-biology, docker-image, pypi, quant-seq, rna-seq, slamseq, transcription
- Language: Python
- Homepage:
- Size: 39.4 MB
- Stars: 38
- Watchers: 5
- Forks: 23
- Open Issues: 26
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- AwesomeGenomics - slamdunk
README
### 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)
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### Slamdunk documentation
http://t-neumann.github.io/slamdunk
### nf-core slamseq workflow
[](https://nf-co.re/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](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