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Combining quantitative proteomics data processing workflows for greater sensitivity

Niklaas Colaert UGent, Christophe Van Huele UGent, Sven Degroeve UGent, An Staes UGent, Joël Vandekerckhove UGent, Kris Gevaert UGent and Lennart Martens UGent (2011) NATURE METHODS. 8(6). p.481-U66
abstract
We here describe a normalization method to combine quantitative proteomics data. By merging the output of two popular quantification software packages, we obtained a 20% increase (on average) in the number of quantified human proteins without suffering from a loss of quality. Our integrative workflow is freely available through our user-friendly, open-source Rover software (http://compomics-rover.googlecode.com/).
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
RATES, TOOL, IMPROVING SENSITIVITY, PROTEIN QUANTIFICATION, IMPROVING SENSITIVITY, PROTEIN QUANTIFICATION, PEPTIDE IDENTIFICATION, RATES, MULTIPLE SEARCH ENGINES, MASS-SPECTROMETRY, TOOL
journal title
NATURE METHODS
Nat. Methods
volume
8
issue
6
pages
481 - U66
Web of Science type
Article
Web of Science id
000291031800017
JCR category
BIOCHEMICAL RESEARCH METHODS
JCR impact factor
19.276 (2011)
JCR rank
1/72 (2011)
JCR quartile
1 (2011)
ISSN
1548-7091
DOI
10.1038/NMETH.1604
project
Bioinformatics: from nucleotids to networks (N2N)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1887669
handle
http://hdl.handle.net/1854/LU-1887669
date created
2011-08-11 13:13:28
date last changed
2013-02-27 09:11:21
@article{1887669,
  abstract     = {We here describe a normalization method to combine quantitative proteomics data. By merging the output of two popular quantification software packages, we obtained a 20\% increase (on average) in the number of quantified human proteins without suffering from a loss of quality. Our integrative workflow is freely available through our user-friendly, open-source Rover software (http://compomics-rover.googlecode.com/).},
  author       = {Colaert, Niklaas and Van Huele, Christophe and Degroeve, Sven and Staes, An and Vandekerckhove, Jo{\"e}l and Gevaert, Kris and Martens, Lennart},
  issn         = {1548-7091},
  journal      = {NATURE METHODS},
  keyword      = {RATES,TOOL,IMPROVING SENSITIVITY,PROTEIN QUANTIFICATION,IMPROVING SENSITIVITY,PROTEIN QUANTIFICATION,PEPTIDE IDENTIFICATION,RATES,MULTIPLE SEARCH ENGINES,MASS-SPECTROMETRY,TOOL},
  language     = {eng},
  number       = {6},
  pages        = {481--U66},
  title        = {Combining quantitative proteomics data processing workflows for greater sensitivity},
  url          = {http://dx.doi.org/10.1038/NMETH.1604},
  volume       = {8},
  year         = {2011},
}

Chicago
Colaert, Niklaas, Christophe Van Huele, Sven Degroeve, An Staes, Joël Vandekerckhove, Kris Gevaert, and Lennart Martens. 2011. “Combining Quantitative Proteomics Data Processing Workflows for Greater Sensitivity.” Nature Methods 8 (6): 481–U66.
APA
Colaert, N., Van Huele, C., Degroeve, S., Staes, A., Vandekerckhove, J., Gevaert, K., & Martens, L. (2011). Combining quantitative proteomics data processing workflows for greater sensitivity. NATURE METHODS, 8(6), 481–U66.
Vancouver
1.
Colaert N, Van Huele C, Degroeve S, Staes A, Vandekerckhove J, Gevaert K, et al. Combining quantitative proteomics data processing workflows for greater sensitivity. NATURE METHODS. 2011;8(6):481–U66.
MLA
Colaert, Niklaas, Christophe Van Huele, Sven Degroeve, et al. “Combining Quantitative Proteomics Data Processing Workflows for Greater Sensitivity.” NATURE METHODS 8.6 (2011): 481–U66. Print.