title: Rover: a tool to visualize and validate quantitative proteomics data from different sources.
abstract: Manual validation of regulated proteins found in MS-driven quantitative proteome studies is tedious. Here we present Rover (http://genesis.ugent.be/rover), a tool that facilitates this process. Rover accepts quantitative data from different sources such as MASCOT Distiller and MaxQuant and, in an intuitive environment, Rover visualizes these data such that the user can select and validate algorithm-suggested regulated proteins in the frame of the whole experiment and in the context of the protein inference problem.
authors.affiliation: Department of Medical Protein Research, VIB, Ghent, Belgium.
authors.forename: Niklaas
authors.initials: N
authors.lastname: Colaert
authors.forename: Kenny
authors.initials: K
authors.lastname: Helsens
authors.forename: Francis
authors.initials: F
authors.lastname: Impens
authors.forename: Joël
authors.initials: J
authors.lastname: Vandekerckhove
authors.forename: Kris
authors.initials: K
authors.lastname: Gevaert
mesh_terms: D019295:Computational Biology; D011506:Proteins / Q000032:analysis; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012984:Software; D053719:Tandem Mass Spectrometry; D014584:User-Computer Interface
chemical_list: D011506:Proteins; D020543:Proteome