Joris Van Houtven

Joris Van Houtven
Hasselt University · Research Institute Center for Statistics (CENSTAT)

MSc. Bioinformatics, MSc. Physics

About

6
Publications
150
Reads
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20
Citations
Citations since 2016
6 Research Items
20 Citations
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201620172018201920202021202202468

Publications

Publications (6)
Article
For differential expression studies in all omics disciplines, data normalization is a crucial step that is often subject to a balance between speed and effectiveness. To keep up with the data produced by high-throughput instruments, researchers require fast and easy-to-use yet effective methods that fit into automated analysis pipelines. The CONSTA...
Preprint
Full-text available
In high-throughput omics disciplines like transcriptomics, researchers face a need to assess the quality of an experiment prior to an in-depth statistical analysis. To efficiently analyze such voluminous collections of data, researchers need triage methods that are both quick and easy to use. Such a normalization method for relative quantitation, C...
Article
Rationale: Todays methods for identifying peptides in fragment mass spectral data still struggle to do so for the majority of spectra. Based on the experimental setup and other assumptions, such methods restrict the search space in order to speed up computations, but at the cost of creating blind spots. The proteomics community would greatly benef...
Article
There is a trend in the analysis of shotgun proteomics data that aims to combine information from multiple search engines to increase the number of peptide annotations in an experiment. Typically, the degree of search engine complementarity and search engine agreement is visually illustrated by means of Venn diagrams that present the findings of a...
Article
In the context of omics disciplines and especially proteomics and biomarker discovery, the analysis of a clinical sample using label-based tandem mass spectrometry (MS) can be affected by sample preparation effects or by the measurement process itself, resulting in an incorrect outcome. Detection and correction of these mistakes using state-of-the-...
Book
In differential peptidomics, peptide profiles are compared between biological samples and the resulting expression levels are correlated to a phenotype of interest. This, in turn, allows us insight into how peptides may affect the phenotype of interest. In quantitative differential peptidomics, both label-based and label-free techniques are often e...

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Project