Wouter Boomsma

ResearcherID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Venues

Research square

PLoS computational biology

The journal of physical chemistry. B

Cellular and molecular life sciences : CMLS

University of Copenhagen

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Copenhagen

Denmark

Associate Professor :: Department of Computer Science, Machine Learning section

Publications

Nikos S Hatzakis, Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo Correia, Annette Juma Nielsen, Sara Bleshoey, Wouter Boomsma, Tomas Kirchhausen
Deep learning assisted single particle tracking for automated correlation between diffusion and function. Research square (2024)
Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo F Bango Da Cunha Correia, Annette Juma Nielsen, Sara Vogt Bleshøy, Wouter Boomsma, Tom Kirchhausen, Nikos S Hatzakis
Deep learning assisted single particle tracking for automated correlation between diffusion and function. Research square (2024)
Nikos S Hatzakis, Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo Correia, Annette Juma Nielsen, Sara Bleshoey, Wouter Boomsma, Tomas Kirchhausen
Deep learning assisted single particle tracking for automated correlation between diffusion and function. Research square (2024)
Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S Hatzakis, Wouter Boomsma
A systematic analysis of regression models for protein engineering. PLoS computational biology 20 (5) (2024)
Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S Hatzakis, Wouter Boomsma
A systematic analysis of regression models for protein engineering. PLoS computational biology 20 (5) (2024)
Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S Hatzakis, Wouter Boomsma
A systematic analysis of regression models for protein engineering. PLoS computational biology 20 (5) (2024)
Nikos S Hatzakis, Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo Correia, Annette Juma Nielsen, Sara Bleshoey, Wouter Boomsma, Tomas Kirchhausen
Deep learning assisted single particle tracking for automated correlation between diffusion and function. Research square (2024)
Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo F Bango Da Cunha Correia, Annette Juma Nielsen, Sara Vogt Bleshøy, Wouter Boomsma, Tom Kirchhausen, Nikos S Hatzakis
Deep learning assisted single particle tracking for automated correlation between diffusion and function. Research square (2024)
Jacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, Gustavo Scanavachi, Ricardo F Bango Da Cunha Correia, Annette Juma Nielsen, Sara Vogt Bleshøy, Wouter Boomsma, Tomas Kirchhausen, Nikos S Hatzakis
Deep learning assisted single particle tracking for automated correlation between diffusion and function. bioRxiv : the preprint server for biology (2023)
Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
Learning meaningful representations of protein sequences. Nature communications 13 (1) (2022)
Henrik D Pinholt, Søren S-R Bohr, Josephine F Iversen, Wouter Boomsma, Nikos S Hatzakis
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion. Proceedings of the National Academy of Sciences of the United States of America 118 (31) (2021)
Birthe B Kragelund, Nanna Wichmann, Joao M Martins, Riccardo Marabini, Noah Kassem, Sebastian S Broendum, Marit Otterlei, Olaf Nielsen, Martin Willemoës, Michael Ploug, Wouter Boomsma, Birthe B Kragelund
The PCNA interaction motifs revisited: thinking outside the PIP-box. Cellular and molecular life sciences : CMLS 76 (24) (2019)
Ruth Hendus-Altenburger, Catarina B Fernandes, Katrine Bugge, Micha B A Kunze, Wouter Boomsma, Birthe B Kragelund
Random coil chemical shifts for serine, threonine and tyrosine phosphorylation over a broad pH range. Journal of biomolecular NMR 73 (12) (2019)
Peter S Millard, Katrine Bugge, Riccardo Marabini, Wouter Boomsma, Meike Burow, Birthe B Kragelund
IDDomainSpotter: Compositional bias reveals domains in long disordered protein regions-Insights from transcription factors. Protein science : a publication of the Protein Society 29 (1) (2019)
Yong Wang, Pengfei Tian, Wouter Boomsma, Kresten Lindorff-Larsen
Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias. The journal of physical chemistry. B 122 (49) (2018)
Anıl Kurut, Rasmus Fonseca, Wouter Boomsma
Driving Structural Transitions in Molecular Simulations Using the Nonequilibrium Candidate Monte Carlo. The journal of physical chemistry. B 122 (3) (2018)
Sandro Bottaro, Giovanni Bussi, Giovanni Pinamonti, Sabine Reißer, Wouter Boomsma, Kresten Lindorff-Larsen
Barnaba: software for analysis of nucleic acid structures and trajectories. RNA (New York, N.Y.) 25 (2) (2018)

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Publication Activity (10 Years)

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Wouter Boomsma