Author

Eleni Mina

Leiden University Medical CenterORCID 0000-0002-8972-9206Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Marco RoosiD· 2 shared Anaı̈s BaudotiD· 1 shared Annika JacobseniD· 1 shared Barend MonsiD· 1 shared Barry A. PepersiD· 1 shared Chris T. EveloiD· 1 shared Daphne WijnbergeniD· 1 shared Davy CatsiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Marco RoosORCID

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3 papers

Recent·Most cited

Determining off-target effects of splice-switching antisense oligonucleotides using short read RNAseq in neuronally differentiated human induced pluripotent stem cells

Elsa C. Kuijper, Linda van der Graaf, Barry A. Pepers, Mariana Guimarães Ramos, Sylvia Korhorn, Lodewijk J.A. Toonen, Davy Cats, Ronald A.M. Buijsen, Eleni Mina, Hailiang Mei, Willeke van Roon‐Mom

This study uses RNAseq to assess off-target effects of three splice-switching AONs in human cells, identifying splicing changes and showing variability in AON-induced effects.

Human Molecular Genetics · Sep 23, 2025Peer-reviewedGenetics

The FAIR Data Point Populator: collaborative FAIRification and population of FAIR Data Points

Daphne Wijnbergen, Rajaram Kaliyaperumal, Kees Burger, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina

The paper introduces a tool for FAIR metadata creation that improves collaboration, schema adherence, and scalability compared to existing tools.

BMC Medical Informatics and Decision Making · Jun 10, 2025Peer-reviewedBioinformatics

Collaborative network analysis for the interpretation of transcriptomics data in rare diseases, an application to Huntington's disease

Ozan Özışık, Nazli Sila Kara, Tooba Abbassi‐Daloii, Morgane Térézol, Núria Queralt-Rosiñach, Annika Jacobsen, Osman Uğur Sezerman, Marco Roos, Chris T. Evelo, Anaı̈s Baudot, Friederike Ehrhart, Eleni Mina

This study applies collaborative network analysis to Huntington's disease transcriptomics data to identify enriched pathways and generate hypotheses about disease mechanisms.

bioRxiv · Jul 22, 2023 · PreprintBioinformatics