Author

Oleg S. Glotov

Research Institute of Obstetrics and Gynecology named after D.O. OttORCID 0000-0002-0091-2224Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Research Focus:database / resource· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexander V. PredeusiD· 2 shared Andrey Sergeyevich GlotoviD· 2 shared Dmitrii E. PoleviD· 2 shared Yury A. BarbitoffiD· 2 shared Aleksandr V. Slepchenkov· 1 shared Anna Aleksandrovna KostarevaiD· 1 shared Artem M. KiseleviD· 1 shared Arthur A Isaev· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexander V. PredeusORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Expanding the Russian allele frequency reference via cross-laboratory data integration: insights from 7,452 exome samples

Yury A. Barbitoff, Хмелькова Дарья Николаевна, Ekaterina A. Pomerantseva, Aleksandr V. Slepchenkov, Nikita A. Zubashenko, И. В. Миронова, Vladimir Kaimonov, Dmitrii E. Polev, Victoria V. Tsay, Andrey Sergeyevich Glotov, Mikhail V. Aseev, Sergey G. Shcherbak, Oleg S. Glotov, Arthur A Isaev, Alexander V. Predeus

The paper integrates exome data from 7,452 Russian samples to create a population-specific allele frequency reference, identifying rare variants and clusters within the Russian population.

National Science Review · Sep 13, 2024Peer-reviewedGenetic & Genomic Medicine

Systematic dissection of biases in whole-exome and whole-genome sequencing reveals major determinants of coding sequence coverage

Yury A. Barbitoff, Dmitrii E. Polev, Andrey Sergeyevich Glotov, Elena A. Serebryakova, Irina V. Shcherbakova, Artem M. Kiselev, Anna Aleksandrovna Kostareva, Oleg S. Glotov, Alexander V. Predeus

This study systematically evaluates coverage biases in whole-exome and whole-genome sequencing, finding that some WES platforms outperform others and that WES can match WGS in variant discovery.

Scientific Reports · Feb 6, 2020Peer-reviewedGenomics