Publications @ the Martens Group
- Vaudel, M. et al. PeptideShaker enables reanalysis of MS-derived proteomics data sets. Nat Biotech 33, 22–24 (2015).
- Masuzzo, P. et al. An open data ecosystem for cell migration research. Trends Cell Biol. 25, 55–58 (2015).
- Walzer, M. et al. qcML: an exchange format for quality control metrics from mass spectrometry experiments. Mol. Cell Proteomics 13, 1905–1913 (2014).
- Degroeve, S. & Martens, L. MS2PIP: a tool for MS/MS peak intensity prediction. Bioinformatics 29, 3199–3203 (2013).
- Colaert, N. et al. Combining quantitative proteomics data processing workflows for greater sensitivity. Nat Meth 8, 481–483 (2011).
- Resolution of protein structure by mass spectrometry.
- Differences in antigenic sites and other functional regions between genotype A and G mumps virus surface proteins.
- Data-driven rescoring of metabolite annotations significantly improves sensitivity.
- DoRes within CellMissy: dose-response analysis on cell migration and related data.
- Corrigendum: SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification.
- An extra dimension in protein tagging by quantifying universal proteotypic peptides using targeted proteomics.
- Cross-linked peptide identification: A computational forest of algorithms.
- Analysis of Invasion Dynamics of Matrix-Embedded Cells in a Multisample Format.
- The mutational landscape of MYCN, Lin28b and ALKF1174L driven murine neuroblastoma mimics human disease.
- SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification.