PyPI 官网下载 | iCount-Mini-2.0.3.tar.gz

# iCount-Mini This is a fork of iCount maintained by members of [Jernej Ule's](http://ulelab.info) group, focussing on the peak calling features of iCount. # iCount: protein-RNA interaction analysis iCount is a Python module and associated command-line interface (CLI), which provides all the commands needed to process iCLIP data on protein-RNA interactions and generate: + demultiplexed and adapter-trimmed FASTQ files + BAM files with mapped iCLIP reads + identified protein-RNA cross-linked sites, saved to BED files + statistically significant cross-linked sites, saved to BED files + peaks of significant cross-linked sites, saved to BED files + grouping of individual replicate experiments + RNAmap generation showing the positional distribution of cross-linked sites relative to genomic landmarks + kmer enrichment analysis You may start with the [tutorial](http://icount.readthedocs.io/en/latest/tutorial.html) or dive into the [documentation](http://icount.readthedocs.io/en/latest/index.html). ## iCount-Mini Authors iCount-Mini is maintained by members of [Jernej Ule's](http://ulelab.info) group. ## iCount Authors iCount is developed and supported by [Tomaž Curk](http://curk.info) from the [Bioinformatics Laboratory](http://biolab.si) at the [University of Ljubljana](http://www.uni-lj.si), [Faculty of Computer and Information Science](http://www.fri.uni-lj.si) and in collaboration with the laboratory of [Jernej Ule](http://ulelab.info). The development started in late 2008 when Tomaž Curk and Gregor Rot wrote a first prototype of iCount. In mid-2016, [Jure Zmrzlikar](https://github.com/JureZmrzlikar) from [Genialis](http://www.genialis.com) helped refactoring and improving the code, which is now available here. ## Development To install a development version of iCount-Mini, use this command. It's recommended to do this within a Python virtual environment. ```bash pip install --upgrade -r requirements-rtd.txt -e . ```