| Name | Description | Publication |
|---|---|---|
| PolySTest | Robust statistical testing of quantitative proteomics data.
|
Schwämmle et al., 2020 |
| HUMOS
|
eLearning web-application aimed to help teaching Orbitrap mass spectrometry
|
Bubis et al., 2020
|
| ComplexBrowser
|
R based software for supervised analysis of changes in protein complex abundance and subunit co-expression in proteomic datasets
|
Michalak et al., 2019
|
| CoExpresso
|
Tool to investigate the co-regulatory behavior and its significance of protein subunits in known protein complexes
|
Chalabi et al., 2019
|
| ProtProtocols and IsoProt
|
Containerized workflows for proteomics data analysis
|
Griss et al., 2019
|
| Citrullia
|
Confident identification of citrullinated peptide
|
Larsen et al., 2020
|
| topdownR
|
Automatic and systemic investigation of MS/MS fragmentation methods on an orbitrap instrument platform and systematic analysis of the resultant spectra.
|
Shliaha et al., 2018
|
| VSClust
|
Feature-based variance-sensitive clustering of omics data.
|
Schwämmle et al., 2018
|
| SuperQuant
|
Quantitative proteomics data processing approach that uses complementary fragment ions to identify multiple coisolated peptides in tandem mass spectra allowing for their quantification.
|
Gorshkov et al., 2015
|
| A2b2-restrictor
|
Deconvolution of multiple fragmented peptides using the relation between a2/b2 and the yn-2 ions found in HCD spectra.
|
Kryuchkov et al., 2014
|
| CrossTalkDB
|
Platform to collect, statistically assess and analyze multiply modified proteins and provide a quantitative estimation of PTM crosstalk
|
Schwämmle et al., 2014
|
| PhosphoSiteLocalizer
|
An approach for phospho-site localization by the combined use of peptide fragmentation with both CID and ETD.
|
Hansen et al., 2012
|
| MASSAI
|
A software tool for the analysis of data from chemical cross-linking experiments.
|
Rasmussen et al., 2011
|
| GPMAW
|
Software tool for analyzing proteins and peptides
|
|
| GitHub projects
|
Source code and documentation of current and former software developments
|
|
| Bitbucket projects
|
Source code and documentation of current and former software developments
|
© Copyright Nils Lund Pedersen
© Copyright Nils Lund Pedersen
The Protein Research Group at SDU develops advanced computational tools for analyzing mass spectrometry and proteomics data.