Author

Simon Heys

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

Frequent Co-Authors

A Sarah Walker· 1 shared Antonina A Votintseva· 1 shared Bill Huang· 1 shared Daniel J Wilson· 1 shared David BuckiD· 1 shared David H Wyllie· 1 shared Derrick Crook· 1 shared E Grace Smith· 1 shared

Activity by Year

2015-2015 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

A Sarah Walker

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1 paper

Recent·Most cited

Rapid antibiotic resistance predictions from genome sequence data for S. aureus and M. tuberculosis.

Phelim Bradley, N Claire Gordon, Timothy M Walker, Laura Dunn, Simon Heys, Bill Huang, Sarah Earle, Louise J Pankhurst, Luke Anson, Mariateresa de Cesare, Paolo Piazza, Antonina A Votintseva, Tanya Golubchik, Daniel J Wilson, David H Wyllie, , Zamin Iqbal

This paper develops a tool to predict antibiotic resistance in S. aureus and M. tuberculosis from genome sequences with high accuracy and speed.

Nature Communications · Dec 21, 2015Peer-reviewedGenomics

Simon Heys · henhao