GitHub - cbg-ethz/BMix: BMix is a novel probabilistic method based on a constrained three-component mixture, which identifies high confidence T-to-C substitutions in PAR-CLIP data, and, based on these, reports putative RNA-protein cross-link sites.

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BMix is a novel probabilistic method based on a constrained three-component mixture, which identifies high confidence T-to-C substitutions in PAR-CLIP data, and, based on these, reports putative RNA-protein cross-link sites.

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BMix is a toolbox for analysing PAR-CLIP data and detecting T-to-C substitutions induced following RNA-protein cross-linking. Candidate binding sites are reported starting from the identified T-to-C substitutions.

The toolbox is presented in the manuscript:
Monica Golumbeanu, Pejman Mohammadi and Niko Beerenwinkel.(2015) BMix: Probabilistic modeling of occurring substitutions in PAR-CLIP data

Contact: monica.golumbeanu@bsse.ethz.ch
	 pejman.mohammadi@bsse.ethz.ch
	 niko.beerenwinkel@bsse.ethz.ch

The present repository is organized as follows:
1. File README.txt - the present file
2. File documentation.pdf - contains instructions of use of the toolbox
3. Folder source/ - contains the source code of all the scripts of the toolbox
4. Folder test/ - contains example data ready to use with BMix, as well as the expected outcome

Dependencies:
- Matlab (at least R2013) or R (at least 3.1.2 and installed package nloptr)
- samtools (http://www.htslib.org/)
- awk (http://www.gnu.org/software/gawk/manual/gawk.html)
- bedtools (http://bedtools.readthedocs.org/en/latest/)