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Justin van der Hooft - Combining metabolome and genome mining workflows
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Justin van der Hooft

Combining metabolome and genome mining workflows
Wageningen University & Research • Wageningen • Netherlands

Skills and expertise

Fields of interest
  • MS-based untargeted proteomics
  • MS-based untargeted metabolomics
  • Protein interaction analysis
Languages
  • English

TOOLS MAINTAINED

MS2LDA SUPPORT

Web

MS2LDA SUPPORT

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Allows users to explore fragment data. MS2LDA is based on the Latent Dirichlet Allocation (LDA) method. It guides interpretation of comparative untargeted metabolomics experiments and prioritizes…

Fields of interest

MS-based untargeted proteomics
Quantifies histone peptides based on liquid chromatography - tandem mass…
Performs comprehensive in silico analyses. LeTE-fusion gives an ideal…
Permits users to import, integrate, manage and compare numerous proteomics…
MS-based untargeted metabolomics
Removes unwanted variations at feature-level in large-scale metabolomics and…
Supplies an algorithm for peak deconvolution for linear matrix-assisted laser…
Enables the detection of regulated modules in metabolomics networks at…
Protein interaction analysis
Deconstructs drugs effects of interest into basic components. OLSA is a package…
Investigates relationships between human diseases and microbial communities.…
Allows users to select characteristics from multi-omics data. CCAFS is a…