Author

Yulia Yakovleva

St Petersburg UniversityORCID 0000-0002-0202-7245Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Alexey ZabelkiniD· 2 shared Nikita AlexeeviD· 2 shared Olga BochkarevaiD· 2 shared Johannes BuescheriD· 1 shared Kristela ShehuiD· 1 shared Marc SchneideriD· 1 shared Marcello PirritanoiD· 1 shared Mark SaburaiD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Alexey ZabelkinORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Exogenous dsRNA made accessible to Dicer by two eukaryotic RNA-dependent RNA polymer-ases

Marcello Pirritano, Johannes Buescher, Petra Staubach, Thorsten Tacken, Yulia Yakovleva, Mark Sabura, Kristela Shehu, Sören Franzenburg, Marc Schneider, Martin C. Simon

The paper shows that two RDRs in Paramecium are required to convert exogenous dsRNA into siRNAs for RNAi, contrasting with known functions in other organisms.

bioRxiv · Apr 26, 2025 · PreprintGenetics

PaReBrick: PArallel REarrangements and BReakpoints identification toolkit

Alexey Zabelkin, Yulia Yakovleva, Olga Bochkareva, Nikita Alexeev

PaReBrick identifies parallel rearrangements in bacterial genomes by analyzing synteny blocks and phylogenetic trees to detect events contributing to pathogenicity and adaptation.

Bioinformatics · Sep 30, 2021Peer-reviewedBioinformatics

High rates of genome rearrangements and pathogenicity of Shigella spp.

Zaira Seferbekova, Alexey Zabelkin, Yulia Yakovleva, Robert Afasizhev, Natalia O. Dranenko, Nikita Alexeev, Mikhail Sergeevich Gelfand, Olga Bochkareva

This study analyzes genome rearrangements in Shigella and E. coli strains, finding high rearrangement rates and specific E3 ubiquitin ligases linked to pathogenicity.

Frontiers in Microbiology · Apr 12, 2021Peer-reviewedBioinformatics