Author

Christopher Bellas

Roslin Institute

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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Microbiology· 1

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Organism:E. coli· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aidan T. BrowniD· 1 shared Alison S. LowiD· 1 shared Antonia ChalkaiD· 1 shared David L. GallyiD· 1 shared Ignacio Salinas Valdivieso· 1 shared Talal Hossain· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperMicrobiology

Aidan T. BrownORCID

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1 paper

Recent·Most cited

Integrating bacterial and viral genomic information enhances and extends the machine learning predictions of bacteriophage activity against pathogenic Escherichia coli

Antonia Chalka, Ignacio Salinas Valdivieso, Talal Hossain, Christopher Bellas, Alison S. Low, Aidan T. Brown, David L. Gally

This paper develops a machine learning model that integrates bacterial and viral genomic data to predict phage activity against E. coli, improving prediction accuracy by incorporating phage gene content.

bioRxiv · Sep 24, 2026 · PreprintMicrobiology