swMATH ID: 21119
Software Authors: Laurent Gatto, Andy Christoforou
Description: Companion R package RforProteomics: Using R and Bioconductor for proteomics data analysis. This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages a premium software for sound and reproducible data analysis. The reader is also advised on how to find relevant R software for proteomics. Several use cases are then presented, illustrating data input/output, quality control, quantitative proteomics and data analysis. Detailed code and additional links to extensive documentation are available in the freely available companion package RforProteomics.
Homepage: http://bioconductor.org/packages/release/data/experiment/html/RforProteomics.html
Dependencies: R
Keywords: Genomics; arXiv_q-bio.GN; arXiv_publication; Bioconductor; R package; mass spectrometry; quantitative proteomics; data analysis; statistics; quality control
Related Software: rTANDEM; GO.db; reactome.db; Reactome; rols; hpar; Rcpp; TEXshade; OrgMassSpecR; IPPD; synapter; MALDIquant; XML; MSnbase; TargetSearch; mzr; knitr; Bioconductor; R
Cited in: 0 Publications