Using R and bioconductor for proteomics data analysis
(2014) Biochimica et Biophysica Acta - Proteins and Proteomics — Vol. 1844, n° 1 PART A, p. 42-51 (2014)
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- Authors
- Abstract
- 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 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.
- Affiliations
University of Cambridge
Citations
Gatto, L., & Christoforou, A. (2014). Using R and bioconductor for proteomics data analysis. Biochimica et Biophysica Acta - Proteins and Proteomics, 1844(1 PART A), 42-51. https://doi.org/10.1016/j.bbapap.2013.04.032 (Original work published 2014)