Author

Emese Pekker

HUN-REN Szegedi Biológiai Kutatóközpont

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· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:protein structure· 1

Frequent Co-Authors

Bernadett Csányi· 3 shared Erda QorriiD· 3 shared Lajos HaracskaiD· 3 shared Bertalan TakácsiD· 2 shared Valentin VargaiD· 2 shared Ali Bassam· 1 shared Dénes Buzafalvi· 1 shared Dóra Latinovics· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Bernadett Csányi

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Author profile →

3 papers

Recent·Most cited

DeltaMut: An Integrative Database of AlphaFold2-Derived Missense Variant Structures

Erda Qorri, Krisztián Ádám, Bertalan Takács, Sára Shemesh, Dénes Buzafalvi, Valentin Varga, Emese Pekker, L. Pintér, Zoltán Hegedüs, Bernadett Csányi, Lajos Haracska

DeltaMut provides a large database of AlphaFold2-predicted missense variant structures to improve variant effect prediction.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics

Assessing the impact of parental linear gene normalization on the performance of statistical models for circular RNA differential expression analysis

Erda Qorri, Valentin Varga, Katalin Priskin, Dóra Latinovics, Bertalan Takács, Emese Pekker, Gábor Jaksa, Bernadett Csányi, Torday László, Ali Bassam, Zsuzsanna Kahán, Lajos Pintér, Lajos Haracska

This study evaluates normalization and filtering strategies for circRNA differential expression analysis, finding that edgeRs filterByExpr() and linear-aware normalization improve performance.

bioRxiv · Mar 9, 2026 · PreprintBioinformatics

Comprehensive Bulk and Single-Cell RNA Sequencing Uncovers Senescence-Associated Biomarkers in Therapeutic Mesenchymal Stem Cells

Emese Pekker, Erda Qorri, Márton Zsolt Enyedi, Valéria Szukacsov, Ferhan Ayaydin, Éva Szabó-Kriston, Bernadett Csányi, Mónika Mórocz, Farkas Sükösd, Endre Kiss‐Toth, Lajos Haracska

The paper uses bulk and single-cell RNA sequencing to identify senescence-associated biomarkers in canine mesenchymal stem cells across passages.

Scientific Reports · Dec 1, 2025Peer-reviewedCell Biology