Vandekerckhove J - Search Results

1

Combining quantitative proteomics data processing workflows for greater sensitivity.

Colaert N, Van Huele C, Degroeve S, Staes A, Vandekerckhove J, Gevaert K, Martens L. Colaert N, et al. Among authors: vandekerckhove j. Nat Methods. 2011 Jun;8(6):481-3. doi: 10.1038/nmeth.1604. Epub 2011 May 8. Nat Methods. 2011. PMID: 21552256

2

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

Colaert N, Helsens K, Impens F, Vandekerckhove J, Gevaert K. Colaert N, et al. Among authors: vandekerckhove j. Proteomics. 2010 Mar;10(6):1226-9. doi: 10.1002/pmic.200900379. Proteomics. 2010. PMID: 20058247

3

ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics.

Helsens K, Colaert N, Barsnes H, Muth T, Flikka K, Staes A, Timmerman E, Wortelkamp S, Sickmann A, Vandekerckhove J, Gevaert K, Martens L. Helsens K, et al. Among authors: vandekerckhove j. Proteomics. 2010 Mar;10(6):1261-4. doi: 10.1002/pmic.200900409. Proteomics. 2010. PMID: 20058248

4

Complementary positional proteomics for screening substrates of endo- and exoproteases.

Van Damme P, Staes A, Bronsoms S, Helsens K, Colaert N, Timmerman E, Aviles FX, Vandekerckhove J, Gevaert K. Van Damme P, et al. Among authors: vandekerckhove j. Nat Methods. 2010 Jul;7(7):512-5. doi: 10.1038/nmeth.1469. Epub 2010 Jun 6. Nat Methods. 2010. PMID: 20526345

5

A reproducibility-based evaluation procedure for quantifying the differences between MS/MS peak intensity normalization methods.

Degroeve S, Colaert N, Vandekerckhove J, Gevaert K, Martens L. Degroeve S, et al. Among authors: vandekerckhove j. Proteomics. 2011 Mar;11(6):1172-80. doi: 10.1002/pmic.201000605. Epub 2011 Feb 7. Proteomics. 2011. PMID: 21298791

6

A comparison of MS2-based label-free quantitative proteomic techniques with regards to accuracy and precision.

Colaert N, Vandekerckhove J, Gevaert K, Martens L. Colaert N, et al. Among authors: vandekerckhove j. Proteomics. 2011 Mar;11(6):1110-3. doi: 10.1002/pmic.201000521. Epub 2011 Feb 7. Proteomics. 2011. PMID: 21365758

7

A case study on the comparison of different software tools for automated quantification of peptides.

Colaert N, Vandekerckhove J, Martens L, Gevaert K. Colaert N, et al. Among authors: vandekerckhove j. Methods Mol Biol. 2011;753:373-98. doi: 10.1007/978-1-61779-148-2_25. Methods Mol Biol. 2011. PMID: 21604136

8

Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides.

Gevaert K, Goethals M, Martens L, Van Damme J, Staes A, Thomas GR, Vandekerckhove J. Gevaert K, et al. Among authors: vandekerckhove j. Nat Biotechnol. 2003 May;21(5):566-9. doi: 10.1038/nbt810. Epub 2003 Mar 31. Nat Biotechnol. 2003. PMID: 12665801

9

Global differential non-gel proteomics by quantitative and stable labeling of tryptic peptides with oxygen-18.

Staes A, Demol H, Van Damme J, Martens L, Vandekerckhove J, Gevaert K. Staes A, et al. Among authors: vandekerckhove j. J Proteome Res. 2004 Jul-Aug;3(4):786-91. doi: 10.1021/pr049956p. J Proteome Res. 2004. PMID: 15359732

10

DBToolkit: processing protein databases for peptide-centric proteomics.

Martens L, Vandekerckhove J, Gevaert K. Martens L, et al. Among authors: vandekerckhove j. Bioinformatics. 2005 Sep 1;21(17):3584-5. doi: 10.1093/bioinformatics/bti588. Epub 2005 Jul 19. Bioinformatics. 2005. PMID: 16030071

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