Magnus Palmblad

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Associate Professor

Universitair Medisch Centrum Utrecht

Netherlands

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About

Magnus Palmblad is an Associate Professor at Leids Universitair Medisch Centrum in the Netherlands. His research areas focus on high-throughput proteomics, data transparency in proteomic and metabolomic studies, and applications of mass spectrometry for food authentication. He has contributed to significant publications in the field, including topics related to data reproducibility and innovative analytical techniques in proteomics.

Recent Grants

Grant: Close

Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) 2023 Meeting

Open Date: 2022-11-01

Close Date: 2023-11-01

Grant: Close

LysoDriver: Driving intracellular pathogens to degradation by reinforcing lysosomal delivery

Open Date: 2022-01-01

Close Date: 2026-01-01

Grant: Close

Facilitating the “Great Bake Off” of Bioinformatics Workflows

Open Date: 2022-01-01

Close Date: 2025-01-01

Grant: Close

Climate change and impact on critical contaminants and lipids in Arctic Seafood.

Open Date: 2021-01-01

Close Date: 2026-01-01

Grant: Close

Increasing the translational value of public proteomics datasets: Automatic metadata-driven reanalysis in cloud infrastructures

Open Date: 2021-01-01

Close Date: 2023-01-01

Articles (19)

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Collaborators (22)

Thomas Kislinger

Professor

University of Toronto

CANADA

Magnus Palmblad

Research Interests

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About

Recent Grants

Articles (19)

A Special Software Issue in Celebration of Margaret Dayhoff’s 100th Birthday

Proteomic and Metabolomic Data Transparency

Brief Evaluation of Olink Reveal Proximity Extension Assay for High-Throughput Proteomics: A Case Study Using NIST SRM 1950 and Two Spike-In Protein Standards

Proteomics for food and feed authentication in the circular food chain

Text Mining and Computational Chemistry Reveal Trends in Applications of Laser Desorption/Ionization Techniques to Small Molecules

Volume 35(3); 2024 Sep

Fish species authentication in commercial fish products using mass spectrometry and spectral library matching approach

Tackling reproducibility: lessons for the proteomics community

Toward an Integrated Machine Learning Model of a Proteomics Experiment

2019 Association of Biomolecular Resource Facilities Multi-Laboratory Data-Independent Acquisition Proteomics Study

2023 Special Issue on Software Tools and Resources: Accelerating Research with New and Evolving Open Source Software

ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics

Capillary electrophoresis - A bibliometric analysis

Text mining and computational chemistry reveal trends in applications and applicability of capillary electrophoresis

WOMBAT-P: Benchmarking Label-Free Proteomics Data Analysis Workflows

Want to Publish in JPR? This Is What You Need to Know!

CompareMS2 2.0: An Improved Software for Comparing Tandem Mass Spectrometry Datasets

Large-Scale Interlaboratory DI-FT-ICR MS Comparability Study Employing Various Systems

Semantic Annotation of Experimental Methods in Analytical Chemistry

Collaborators (22)

Thomas Kislinger

Josef Daniel Rasinger

Jia Li

Mathias Wilhelm

Berin Boughton

Sven Degroeve

Jenny Uhl

Yuri van der Burgt

Lennart Martens

Jeroen F J Laros

John Yates

Jeremy Kirk Nicholson

Viktoria Dorfer

Christopher Overall

Fredrik Levander

Nikolai Slavov

Mikael Hedeland

Uwe Völker

Veit Schwämmle

Joshua LaBaer

Lukas Käll

Claire Eyers

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