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Wouter Boomsma

16PUBLICATIONS

37CO-AUTHORS

Condensed matter characterisation technique developmentProteomics and metabolomicsDeep learningSequence analysisBioinformatic methods development

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Publications (16)

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|Dec 22, 2025

The Importance of UBQLN2 Ubiquitylation for Its Turnover and Localization.

Martin Grønbæk-Thygesen, Caroline Kampmeyer, Paula Eschger

|Jul 14, 2025

Supervised Learning of Protein Melting Temperature: Cross-Species vs. Species-Specific Prediction.

Sebastián García López, Jesper Salomon, Wouter Boomsma

|May 09, 2025

Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.

Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan

|Nov 07, 2024

SSEmb: A joint embedding of protein sequence and structure enables robust variant effect predictions.

Lasse M Blaabjerg, Nicolas Jonsson, Wouter Boomsma

|May 03, 2024

A systematic analysis of regression models for protein engineering.

Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth

|Feb 14, 2024

Deep learning assisted single particle tracking for automated correlation between diffusion and function.

Nikos Hatzakis, Jacob Kaestel-Hansen, Marilina de Sautu

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Frequent Collaborators

4 joint publications

Jacob Kæstel-Hansen

4 joint publications

Kresten Lindorff-Larsen

4 joint publications

Birthe B Kragelund

4 joint publications

Nikos S Hatzakis

2 joint publications

Marilina de Sautu

2 joint publications

Rasmus Hartmann-Petersen

2 joint publications

Tomas Kirchhausen

2 joint publications

Ruth Hendus-Altenburger

2 joint publications

Katrine Bugge

2 joint publications

Peter S Millard

Frequent Collaborators

4 joint publications

Jacob Kæstel-Hansen

4 joint publications

Kresten Lindorff-Larsen

4 joint publications

Birthe B Kragelund

4 joint publications

Nikos S Hatzakis

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