proteoDeconv (2025)
R package for deconvolution of bulk proteomics data to estimate cell-type proportions.
Department of Immunotechnology · Lund University
Computational & Quantitative Proteomics Group
We develop computational methods for mass spectrometry-based proteomics to enable high-resolution, comprehensive protein measurements in translational and molecular research.
Our work focuses on turning complex proteomics data into robust biological insight. Building on large-scale protein profiling, we design and apply analysis methods in collaborative projects across clinical and life-science domains.
Software
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OmicLoupe (2021)
Interactive exploration of omics datasets for quality assessment and biological trend discovery.
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NormalyzerDE (2019)
Normalization-method evaluation and differential-expression analysis for omics expression data.
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Dinosaur (2016)
Open-source MS1 peptide feature detector for isotope patterns in LC-MS/HPLC-MS data.
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DIANA (2014)
Algorithm and software tools for DIA-MS (data-independent acquisition) analysis.
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Normalyzer (2014)
Deprecated predecessor of NormalyzerDE.
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SRM QC (2013)
Tool for tracking SRM instrument performance and generating QC reports.
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FEvER (2012)
Method and software for functional interpretation of differential quantitative proteomics data.
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Anubis (2012)
Automated peptide detection and quantification in SRM data.
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Proteios Software Environment (2009)
Multi-user platform for analysis and management of proteomics data.