Author

Umair Seemab

University of Eastern FinlandORCID 0000-0002-4308-1109Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Henri LeinoneniD· 3 shared Ziaurrehman TanoliiD· 3 shared Anna V. KalatanovaiD· 2 shared Katri Vainionpää· 2 shared Ahmed B. MontaseriD· 1 shared Andrea ZalianiiD· 1 shared Evgeny KulesskiyiD· 1 shared Farhan AlamiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBioinformatics

Henri LeinonenORCID

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Author profile →

4 papers

Recent·Most cited

CoTRA: a comprehensive R/Shiny framework for transparent bulk and single-cell RNA-seq analysis

Umair Seemab, Katri Vainionpää, Ziaurrehman Tanoli, Henri Leinonen

CoTRA provides an R/Shiny framework for bulk and single-cell RNA-seq analysis, offering integrated workflows and reproducibility across 49 criteria.

bioRxiv · Sep 10, 2026 · PreprintBioinformatics

Female sex is a risk factor for exacerbated lipid peroxidation and disease in murine retinitis pigmentosa

Katri Vainionpää, Anna V. Kalatanova, Umair Seemab, Ahmed B. Montaser, Henri Leinonen

This study shows female sex accelerates retinal degeneration in mouse models of retinitis pigmentosa, linked to increased lipid peroxidation after sexual maturity.

Redox Biology · Dec 23, 2025Peer-reviewedPhysiology

ODDB: Ocular Disease Database for integrated analysis of ocular disease gene drug relationships

Umair Seemab, Anna V. Kalatanova, Saad S. M. Hassan, Ziaurrehman Tanoli, Henri Leinonen

ODDB integrates ocular disease gene-drug relationships to provide a comprehensive resource for molecular mechanisms and therapeutic opportunities.

bioRxiv · Oct 28, 2025 · PreprintBioinformatics

Minimal information for Chemosensitivity assays (MICHA): A next-generation pipeline to enable the FAIRification of drug screening experiments

Ziaurrehman Tanoli, Jehad Aldahdooh, Farhan Alam, Yinyin Wang, Umair Seemab, Maddalena Fratelli, Petr Pavliš, Marián Hajdúch, Florence Biétrix, Philip M. Gribbon, Andrea Zaliani, Matthew D. Hall, Min Shen, Kyle R. Brimacombe, Evgeny Kulesskiy, , Jing Ping Tang

MICHA is a pipeline that FAIRifies chemosensitivity assays by automatically annotating compounds, samples, reagents, and data processing methods, enabling interoperable and reusable drug screening data.

Briefings in Bioinformatics · Aug 9, 2021Peer-reviewedBioinformatics