Author

Tuomas Borman

University of TurkuORCID 0000-0002-8563-8884Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 2 Research Focus:benchmarking· 2 Assay:metagenomics· 2 Research Focus:database / resource· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Leo LahtiiD· 2 shared Ágnes MóréhiD· 1 shared Aki Samuli HavulinnaiD· 1 shared Artur SannikoviD· 1 shared Aura RauloiD· 1 shared Benjamín ValderramaiD· 1 shared Christian L. MülleriD· 1 shared Domenick J. BracciaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Leo LahtiORCID

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Author profile →

2 papers

Recent·Most cited

Orchestrating Microbiome Analysis with Bioconductor

Tuomas Borman, Giulio Benedetti, Geraldson Muluh, Aura Raulo, Benjamín Valderrama, Artur Sannikov, Stefanie Peschel, Yihan Liu, Rasmus Hindström, Katariina M. M. Pärnänen, Christian L. Müller, Aki Samuli Havulinna, Sudarshan Anand Shetty, Marcel Ramos, Domenick J. Braccia, , Leo Lahti

The paper introduces an open-source ecosystem for microbiome data science using Bioconductor, supporting modular workflows for analyzing complex, multi-modal datasets.

bioRxiv · Oct 29, 2025 · PreprintBioinformatics

Multi-omics time-series analysis in microbiome research: a systematic review

Moiz Khan Sherwani, Matti O. Ruuskanen, Dylan Feldner-Busztin, Panos Firbas, Gergely Boza, Ágnes Móréh, Tuomas Borman, Pande Putu Erawijantari, István Scheuring, Shyam Gopalakrishnan, Leo Lahti

This paper reviews data science methods for longitudinal multi-omics in microbiome research, highlighting the need for integrated approaches and the lack of widely adopted methods.

Briefings in Bioinformatics · Aug 31, 2025Peer-reviewedBioinformatics