Author

Evgenia Ulianova

George Washington UniversityORCID 0000-0002-4541-2848Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anélia HorvathiD· 2 shared Christian DillardiD· 2 shared Hongyu LiuiD· 2 shared N. M. PrashantiD· 2 shared Nathan J EdwardsiD· 2 shared Mia Yang· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersGenomics

Anélia HorvathORCID

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2 papers

Recent·Most cited

A wealth of novel cell-specific expressed SNVs from tumor and normal scRNA-seq datasets

Christian Dillard, Evgenia Ulianova, N. M. Prashant, Hongyu Liu, Nathan J Edwards, Anélia Horvath

The paper identifies novel expressed SNVs in tumor and normal scRNA-seq data, revealing a significant number of shared and potentially clinically relevant variants.

bioRxiv · Jun 12, 2022 · PreprintGenomics

SCExecute: cell barcode-stratified analyses of scRNA-seq data

Nathan J Edwards, Christian Dillard, N. M. Prashant, Hongyu Liu, Mia Yang, Evgenia Ulianova, Anélia Horvath

SCExecute enables cell barcode-stratified analysis of scRNA-seq data by executing user commands on extracted scBAM files to detect cell-specific variants.

bioRxiv · Mar 27, 2022 · PreprintGenomics