Author

Alexey Uvarovskii

Evotec (United States)ORCID 0000-0003-3502-6174Unclaimed 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:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Christoph DieterichiD· 1 shared Greta Buinovskaja· 1 shared Ievgen V. Strielkov· 1 shared Isabel S. Naarmann‐de VriesiD· 1 shared Vladimir GalatenkoiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

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5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Christoph DieterichORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 24, 2025

Cutting through the clutter: minimizing redundancy in GO enrichment analysis with evoGO

Ievgen V. Strielkov, Greta Buinovskaja, Alexey Uvarovskii, Vladimir Galatenko

evoGO minimizes redundancy in GO enrichment analysis by considering the GO hierarchy, improving specificity while preserving relevant biological information.

1 citation

humanproteomics

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedAug 7, 2019

On the optimal design of metabolic RNA labeling experiments.

Alexey Uvarovskii, Isabel S. Naarmann‐de Vries, Christoph Dieterich

This paper provides optimal design guidelines for metabolic RNA labeling experiments using asymptotic theory, showing optimal labeling times and when biochemical separation is preferable.

22 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky