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Rover: a tool to visualize and validate quantitative proteomics data from different sources

Niklaas Colaert UGent, Kenny Helsens UGent, Francis Impens UGent, Joël Vandekerckhove and Kris Gevaert UGent (2010) PROTEOMICS. 10(6). p.1226-1229
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Manual validation, MASCOT Distiller, MaxQuant, PROTEIN, Quantitative proteomics, Bioinformatics, Protein inference, IDENTIFICATION
journal title
PROTEOMICS
Proteomics
volume
10
issue
6
pages
1226 - 1229
Web of Science type
Article
Web of Science id
000276337800013
JCR category
BIOCHEMICAL RESEARCH METHODS
JCR impact factor
4.815 (2010)
JCR rank
13/70 (2010)
JCR quartile
1 (2010)
ISSN
1615-9853
DOI
10.1002/pmic.200900379
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
936033
handle
http://hdl.handle.net/1854/LU-936033
date created
2010-04-23 11:39:41
date last changed
2016-12-19 15:45:24
@article{936033,
  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.},
  author       = {Colaert, Niklaas and Helsens, Kenny and Impens, Francis and Vandekerckhove, Jo{\"e}l and Gevaert, Kris},
  issn         = {1615-9853},
  journal      = {PROTEOMICS},
  keyword      = {Manual validation,MASCOT Distiller,MaxQuant,PROTEIN,Quantitative proteomics,Bioinformatics,Protein inference,IDENTIFICATION},
  language     = {eng},
  number       = {6},
  pages        = {1226--1229},
  title        = {Rover: a tool to visualize and validate quantitative proteomics data from different sources},
  url          = {http://dx.doi.org/10.1002/pmic.200900379},
  volume       = {10},
  year         = {2010},
}

Chicago
Colaert, Niklaas, Kenny Helsens, Francis Impens, Joël Vandekerckhove, and Kris Gevaert. 2010. “Rover: a Tool to Visualize and Validate Quantitative Proteomics Data from Different Sources.” Proteomics 10 (6): 1226–1229.
APA
Colaert, N., Helsens, K., Impens, F., Vandekerckhove, J., & Gevaert, K. (2010). Rover: a tool to visualize and validate quantitative proteomics data from different sources. PROTEOMICS, 10(6), 1226–1229.
Vancouver
1.
Colaert N, Helsens K, Impens F, Vandekerckhove J, Gevaert K. Rover: a tool to visualize and validate quantitative proteomics data from different sources. PROTEOMICS. 2010;10(6):1226–9.
MLA
Colaert, Niklaas, Kenny Helsens, Francis Impens, et al. “Rover: a Tool to Visualize and Validate Quantitative Proteomics Data from Different Sources.” PROTEOMICS 10.6 (2010): 1226–1229. Print.