Author

Anastasiia Kim

Los Alamos National LaboratoryORCID 0000-0002-8702-0754Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Andrey Y. LokhoviD· 1 shared Christina R. SteadmaniD· 1 shared Emma E. GoldbergiD· 1 shared Ethan Obie Romero-SeversoniD· 1 shared Karissa Y. SanbonmatsuiD· 1 shared Marc VuffrayiD· 1 shared Nicholas LubbersiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperEvolutionary Biology

Andrey Y. LokhovORCID

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2 papers

Recent·Most cited

Are theoretical advances in distance-based tree learning practical for phylogenetic inference?

Anastasiia Kim, Andrey Y. Lokhov, Marc Vuffray, Ethan Obie Romero-Severson, Emma E. Goldberg

This study evaluates a theoretical algorithm for phylogenetic inference in realistic biological datasets, finding it robust but requiring adjustments for real-world applications.

bioRxiv · Jan 13, 2026 · PreprintEvolutionary Biology

Statistical relationships across epigenomes using large-scale hierarchical clustering

Anastasiia Kim, Nicholas Lubbers, Christina R. Steadman, Karissa Y. Sanbonmatsu

The paper uses hierarchical clustering to analyze over 3,000 epigenomes and characterize relationships among epigenetic modifiers, their modifiers, and immune cell types.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedGenetics