title: Visualization of proteomics data using R and bioconductor.
abstract: Data visualization plays a key role in high-throughput biology. It is an essential tool for data exploration allowing to shed light on data structure and patterns of interest. Visualization is also of paramount importance as a form of communicating data to a broad audience. Here, we provided a short overview of the application of the R software to the visualization of proteomics data. We present a summary of R's plotting systems and how they are used to visualize and understand raw and processed MS-based proteomics data.
authors.affiliation: Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Department of Biochemistry, Computational Proteomics Unit, University of Cambridge, Cambridge, UK.
authors.forename: Laurent
authors.initials: L
authors.lastname: Gatto
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Breckels
authors.forename: Thomas
authors.initials: T
authors.lastname: Naake
authors.forename: Sebastian
authors.initials: S
authors.lastname: Gibb
mesh_terms: D000818:Animals; D003196:Computer Graphics; D006801:Humans; D013058:Mass Spectrometry; D058977:Molecular Sequence Annotation; D040901:Proteomics / Q000379:methods*; D012984:Software
keywords: Bioconductor; Bioinformatics; Data analysis; Programming; R; Visualization