Pascal Maas

A blog about bioinformatics in metabolomics

About me
Git Contact CV

Pascal Maas

Bioinformatician in metabolomicscontact@pascal-maas.nl

Experience

Bioinformatician

Metabolomics Analytical Centre, Leiden University2021 – present

  • Software for the data analysis of large volumes of samples

Education

MSc Bioinformatics

University of Amsterdam2018 – 2020

BSc Bioinformatics

University of Applied Sciences Leiden2014 – 2018

Publications

  1. Zhu M, Lamont L, Maas P, Harms AC, Beekman M, Slagboom PE, Dubbelman AC, Hankemeier T. Absolute quantification of polar metabolites using matrix-free calibration curves and post-column infusion of standards in HILIC-MS based metabolomics. Journal of Chromatography A. 2025. doi:10.1016/j.chroma.2025.466507
  2. van der Peet M, Maas P, Wegrzyn A, Lamont L, Fleming R, Harms A, Hankemeier T, Kindt A. mzQuality: A tool for quality monitoring and reporting of targeted mass spectrometry measurements. 2025. doi:10.1101/2025.01.22.633547
  3. Zhu M, Lamont L, Maas P, Harms AC, Beekman M, Slagboom PE, Dubbelman AC, Hankemeier T. Matrix effect evaluation using multi-component post-column infusion in untargeted hydrophilic interaction liquid chromatography-mass spectrometry plasma metabolomics. Journal of Chromatography A. 2025. doi:10.1016/j.chroma.2024.465580
  4. Maas P, den Hartog I, Kindt A, Boman S, Hankemeier T, van Hasselt C. The Immunometabolic Atlas: A tool for design and interpretation of metabolomics studies in immunology. PLOS ONE. 2022. doi:10.1371/journal.pone.0268408

Skills

Languages
R, Python, C++, Bash
Methods
LC-MS data processing, Quality control, Statistics, IT Infrastructure
Other
Git, Docker