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Rover: A tool to visualize and validate quantitative proteomics data from different sources
Author(s) -
Colaert Niklaas,
Helsens Kenny,
Impens Francis,
Vandekerckhove Joël,
Gevaert Kris
Publication year - 2010
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200900379
Subject(s) - computer science , context (archaeology) , mascot , proteome , process (computing) , inference , quantitative proteomics , proteomics , data mining , bioinformatics , artificial intelligence , biology , programming language , paleontology , biochemistry , political science , gene , law
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.