Author

Zoia Comarova

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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Bioinformatics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Serghei ManguliD· 2 shared Alex ZelikovskyiD· 1 shared Alexander G. LucaciiD· 1 shared Andrei LobiuciD· 1 shared Angela Lu· 1 shared Arda SöyleviD· 1 shared Christopher E. MasoniD· 1 shared Daria NishchenkoiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersScientific Communication & Education

Serghei MangulORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Leveraging a hybrid cross-disciplinary training model to accelerate global bioinformatics capacity

Tarás K. Oleksyk, Daryna Yakymenko, Sylwia Bożek, Viorel Munteanu, Wojciech Pilch, Zoia Comarova, Victor Gordeev, Grigore Boldirev, Dumitru Ciorbă, Viorel Bostan, Christopher E. Mason, Alexander G. Lucaci, Nadiia Kasianchuk, Daria Nishchenko, Victoria Popic, , Serghei Mangul

This paper introduces a hybrid training model to enhance bioinformatics capacity globally, demonstrating its effectiveness through an Eastern European workshop series.

bioRxiv · Jan 23, 2026 · PreprintScientific Communication & Education

A comprehensive benchmarking of WGS-based structural variant callers

Varuni Sarwal, Sebastian Niehus, Ram Ayyala, Sei Chang, Angela Lu, Nicholas Darci-Maher, Russell Littman, Karishma Chhugani, Arda Söylev, Zoia Comarova, Emily Wesel, Jacqueline Castellanos, Rahul Chikka, Margaret G. Distler, Eleazar Eskin, , Serghei Mangul

This study benchmarks WGS-based structural variant callers using a PCR-confirmed gold standard, finding wide performance variation and identifying tools best suited for low and ultra-low pass data.

bioRxiv · Apr 16, 2020 · PreprintBioinformatics