Author

Anna Kalygina

University of Oxford

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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Genomics· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:multiome· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Andrew B. StergachisiD· 1 shared Cy ChittendeniD· 1 shared Danilo DubocaniniD· 1 shared John M. FrankliniD· 1 shared Mitchell Robert VollgeriD· 1 shared Nicolas AltemoseiD· 1 shared Shane J. NephiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Andrew B. StergachisORCID

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1 paper

Recent·Most cited

Integrating Single-Molecule Sequencing and Deep Learning to Predict Haplotype-Specific 3D Chromatin Organization in a Mendelian Condition

Danilo Dubocanin, Anna Kalygina, John M. Franklin, Cy Chittenden, Mitchell Robert Vollger, Shane J. Neph, Andrew B. Stergachis, Nicolas Altemose

This paper introduces FiberFold, a deep learning model that predicts haplotype-specific 3D chromatin organization using Fiber-seq data, revealing changes in TADs in a Mendelian disease.

bioRxiv · Feb 26, 2025 · PreprintGenomics