Author

Thomas Blom

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Edward M. MarcotteiD· 3 shared Angela M. BardoiD· 2 shared Christopher Martin· 2 shared Heather D. StoutiD· 2 shared James Mapes· 2 shared Matthew Beauregard SmithiD· 2 shared Tucker M. FolsomiD· 2 shared Casey J. Howdieshell· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioinformatics

Edward M. MarcotteORCID

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3 papers

Recent·Most cited

Protein Abundance Inference via Expectation Maximization in Fluorosequencing

Javier Kipen, Matthew Beauregard Smith, Thomas Blom, Shengying Zhou, Edward M. Marcotte, Joakim Jaldén

This paper introduces an expectation maximization framework for inferring protein abundances from fluorosequencing data, showing significant improvements in accuracy and scalability.

Bioinformatics Advances · Jan 1, 2026Peer-reviewedBioinformatics

Robust and scalable single-molecule protein sequencing with fluorosequencing

James Mapes, Julia Stover, Heather D. Stout, Tucker M. Folsom, Emily Babcock, Sandra Loudwig, Christopher Martin, Mariah J. Austin, Fan Tu, Casey J. Howdieshell, Zachary Booth Simpson, Thomas Blom, Daniel C. Weaver, Daniel Winkler, Kent Vander Velden, , Jagannath Swaminathan

This paper improves fluorosequencing by optimizing fluorophores, reducing dye interactions, and creating an end-to-end workflow, demonstrating its potential for high-sensitivity clinical proteomics.

bioRxiv · Sep 15, 2023 · PreprintMolecular Biology

Estimating error rates for single molecule protein sequencing experiments

Matthew Beauregard Smith, Kent VanderVelden, Thomas Blom, Heather D. Stout, James Mapes, Tucker M. Folsom, Christopher Martin, Angela M. Bardo, Edward M. Marcotte

The paper develops and compares two methods to estimate error rates in single molecule protein sequencing experiments, finding that one method outperforms the other in most criteria.

bioRxiv · Jul 18, 2023 · PreprintBioinformatics