Author

Anne Farewell

University of GothenburgORCID 0000-0002-0841-4908Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:E. coli· 3 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Jonas WarringeriD· 2 shared Martin PalmiD· 2 shared Ville MustoneniD· 2 shared Chris Hadjineophytou· 1 shared Danesh MoradigaravandiD· 1 shared Fabrice E. Graf· 1 shared Florian BorseiD· 1 shared Hanna AlalamiD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Jonas WarringerORCID

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3 papers

Recent·Most cited

How far can microbial monocultures predict growth in multi-strain communities?

Florian Borse, Silvana Lord Smits, Tithnara Anthony Sun, Johannes Cairns, Anne Farewell, Ville Mustonen

This study uses machine learning to predict multi-strain microbial community growth from monoculture data, finding that simpler models often suffice.

bioRxiv · Sep 4, 2026 · PreprintEcology

Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences

Danesh Moradigaravand, Martin Palm, Anne Farewell, Ville Mustonen, Jonas Warringer, Leopold Parts

This paper predicts antibiotic resistance in E. coli from whole genome sequences using machine learning, achieving high accuracy without prior knowledge of resistance mechanisms.

PLoS Computational Biology · Dec 14, 2018Peer-reviewedBioinformatics

Conjugation factors controlling F-plasmid antibiotic resistance transmission

Hanna Alalam, Fabrice E. Graf, Martin Palm, Marie Abadikhah, Martin Zackrisson, Matilda Mattsson, Chris Hadjineophytou, Linnéa Persson, Simon Stenberg, Payam Ghiaci, Per Sunnerhagen, Jonas Warringer, Anne Farewell

This study introduces a high-throughput experimental framework to screen genetic factors affecting conjugation-based antibiotic resistance transmission in E. coli.

bioRxiv · Mar 5, 2018 · PreprintMicrobiology