用于分析 SLAM-seq 数据的 SLAMdunk 套件
项目描述
<img src=” http://t-neumann.github.io/slamdunk/images/slamdunk_logo_light.png ” width=”300” title=”Slamdunk”>
### 以超高灵敏度简化 SLAM-Seq 分析。
[]( 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 ) 
###灌篮高手文档
http://t-neumann.github.io/slamdunk
###请引用
Neumann, T., Herzog, VA, Muhar, M., Haeseler, von, A., Zuber, J., Ameres, SL, & Rescheneder, P. (2019)。[高通量测序数据集中实验诱导的核苷酸转化的量化]( https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2849-7 )。BMC 生物信息学, 20(1), 258. http://doi.org/10.1186/s12859-019-2849-7
](https://github.com/t-neumann/slamdunk/releases/latest){kind=link}
](https://travis-ci.org/t-neumann/slamdunk){kind=link}
](https://hub.docker.com/r/tobneu/slamdunk){kind=link}
](https://hub.docker.com/r/tobneu/slamdunk/builds/){kind=link}
](http://bioconda.github.io/recipes/slamdunk/README.html){kind=link}
](https://pypi.python.org/pypi/slamdunk){kind=link}
