Author

Claes Gustafsson

ATUM (United States)ORCID 0000-0003-2181-3126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Divya Teja Vavilala· 1 shared Elias Theodorou· 1 shared Ferenc L. BoldogiD· 1 shared Indira Kottayil· 1 shared Jeremy MinshulliD· 1 shared Lynn Webster· 1 shared Maggie Lee· 1 shared Mario Pereira· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

Divya Teja Vavilala

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMar 27, 2026

Orthogonal Transposons for Iterative Genome Engineering of Mammalian Cells.

Maggie Lee, Sowmya Rajendran, Divya Teja Vavilala…·Jeremy Minshull

This paper introduces a method using orthogonal transposons to iteratively modify the CHO genome for therapeutic development, achieving stable and predictable genetic modifications.

DOI 10.64898/2026.03.24.714049

mousewhole-genome sequencing

𝕏 PostBluesky

BioengineeringBiology Methods and ProtocolsPeer-reviewedJan 1, 2026

Machine Learning Method for Optimizing Coding Sequences in Mammalian Cells

Elias Theodorou, Michael R. Stadler, Claes Gustafsson, Mark Welch

The paper develops a machine learning method to optimize coding sequences for improved protein expression in mammalian cells by analyzing synonymous codon effects.

1 citation

humanDNA methylation

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