| Name | Description | Publication |
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| Robust statistical testing of quantitative proteomics data.
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eLearning web-application aimed to help teaching Orbitrap mass spectrometry
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R based software for supervised analysis of changes in protein complex abundance and subunit co-expression in proteomic datasets
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Tool to investigate the co-regulatory behavior and its significance of protein subunits in known protein complexes
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Containerized workflows for proteomics data analysis
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Confident identification of citrullinated peptide
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Automatic and systemic investigation of MS/MS fragmentation methods on an orbitrap instrument platform and systematic analysis of the resultant spectra.
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Feature-based variance-sensitive clustering of omics data.
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Quantitative proteomics data processing approach that uses complementary fragment ions to identify multiple coisolated peptides in tandem mass spectra allowing for their quantification.
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Deconvolution of multiple fragmented peptides using the relation between a2/b2 and the yn-2 ions found in HCD spectra.
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Platform to collect, statistically assess and analyze multiply modified proteins and provide a quantitative estimation of PTM crosstalk
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| PhosphoSiteLocalizer
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An approach for phospho-site localization by the combined use of peptide fragmentation with both CID and ETD.
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| MASSAI
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A software tool for the analysis of data from chemical cross-linking experiments.
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Software tool for analyzing proteins and peptides
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Source code and documentation of current and former software developments
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Source code and documentation of current and former software developments
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漏 Copyright Nils Lund Pedersen
漏 Copyright Nils Lund Pedersen
The Protein Research Group at 糖果派对 develops advanced computational tools for analyzing mass spectrometry and proteomics data.