Author Archives: niklaascolaert

PhD Niklaas Colaert

On Friday 13th of May 2011, Niklaas Colaert has successfully defended his doctoral thesis. If interested, please find an electronic copy of the thesis below! Thesis_Colaert: download

Posted in News

Bioinformatics analysis of a Saccharomyces cerevisiae N-terminal proteome provides evidence of alternative translation initiation and post-translational N-terminal acetylation.

Initiation of protein translation is a well studied fundamental process, albeit high-throughput and more comprehensive determination of the exact translation initiation sites (TIS) was only recently made possible following the introduction of positional proteomics techniques that target protein N-termini. Precise … Continue reading

Posted in 2011, Publications

RIBAR and xRIBAR: Methods for Reproducible Relative MS/MS-based Label-Free Protein Quantification.

Mass spectrometry-driven proteomics is increasingly relying on quantitative analyses for biological discoveries. As a result, different methods and algorithms have been developed to perform relative or absolute quantification based on mass spectrometry data. One of the most popular quantification methods … Continue reading

Posted in 2011, Publications

Mass spectrometry-driven proteomics: an introduction.

Proteins are reckoned to be the key actors in a living organism. By studying proteins, one engages into deciphering a complex series of events occurring during a protein’s life span. This starts at the creation of a protein, which is … Continue reading

Posted in 2011, Publications

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

MS-driven proteomics has evolved over the past two decades to a high tech and high impact research field. Two distinct factors clearly influenced its expansion: the rapid growth of an arsenal of instrument and proteomic techniques that led to an … Continue reading

Posted in 2011, Publications

Combining quantitative proteomics data processing workflows for greater sensitivity.

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 … Continue reading

Posted in 2011, Publications