README.md

In CCprofiler/CCprofiler: Complex feature detection using SEC protein chromatograms.

CCprofiler

CCprofiler is an open-source R-package for the analysis of co-fractionation MS datasets, for example SEC-SWATH-MS. It offers a collection of R functions for quality control and filtering, protein quantificaion, protein- and complex-centric data analysis and vsualization. For detailed description of the functions please see the vignette that comes with the software.

Install

Install the dependencies:

cran_deps <- c('proxy', 'doSNOW', 'igraph', 'pracma', 'Rmpfr') 
install.packages(cran_deps)
BiocManager::install("qvalue")

Citing CCprofiler

If you use CCprofiler in your research, please cite our publication in Molecular Systems Biology describing the workflow. Moritz Heusel, Isabell Bludau, George Rosenberger, Robin Hafen, Max Frank, Amir Banaei-Esfahani, Ben Collins, Matthias Gstaiger, Ruedi Aebersold Complex-centric proteome profiling by SEC-SWATH-MS Mol Syst Biol (2019)15:e8438 DOI: https://doi.org/10.15252/msb.20188438

CCprofiler/CCprofiler documentation built on May 19, 2021, 7:40 p.m.