Author

Ilma Tapio

Natural Resources Institute FinlandORCID 0000-0002-0752-9551Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A.R. BayatiD· 1 shared Alejandro BelancheiD· 1 shared Antônio ReverteriD· 1 shared Antti KauseiD· 1 shared Christopher J. CreeveyiD· 1 shared Daniel FischeriD· 1 shared David Anthony KennyiD· 1 shared David N KellyiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperSystems Biology

A.R. BayatORCID

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Author profile →

3 papers

Recent·Most cited

Ruminosignatures associated with methane emissions and feed efficiency across geographies and cattle breeds

Ioanna‐Theoni Vourlaki, Ori Furman, Ilma Tapio, Le Luo Guan, Sinéad M. Waters, David Anthony Kenny, Paul Smith, Stuart F. Kirwan, David N Kelly, Ross Evans, Raquel Quintanilla, Miriam Piles, Antônio Reverter, Pâmela A. Alexandre, Fuyong Li, , Yuliaxis Ramayo‐Caldas

This study identifies Ruminosignatures in cattle rumen microbiota linked to methane emissions and feed efficiency across breeds and geographies.

The ISME Journal · Jan 1, 2026Peer-reviewedMicrobiology

Fine-Tuning GBS Data with Comparison of Reference and Mock Genome Approaches for Advancing Genomic Selection in Less Studied Farmed Species

Daniel Fischer, Miika Tapio, Oliver Bitz, Terhi Iso‐Touru, Antti Kause, Ilma Tapio

This paper optimizes a ddRAD GBS pipeline for non-model species using mock reference genomes and demonstrates its effectiveness in bovine and European whitefish data.

BMC Genomics · Feb 5, 2025Peer-reviewedBioinformatics

Integrating microbial abundance time series with fermentation dynamics of the rumen microbiome via mathematical modelling

Mohsen Davoudkhani, Francesco Rubino, Christopher J. Creevey, Seppo A. Ahvenjärvi, A.R. Bayat, Ilma Tapio, Alejandro Belanche, Rafael Muñoz‐Tamayo

The paper integrates microbial abundance time series with fermentation dynamics using mathematical modeling to predict volatile fatty acid production in the rumen.

bioRxiv · Oct 5, 2023 · PreprintSystems Biology