Author

Peter Shaw

Google (United States)Primary ORCID profile (0000-0003-1076-2669 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Peter ShawiD2 papers · John Innes Centre

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:protein sequence· 1 Organism:rat· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andreea Gane· 1 shared Ankur P. Parikh· 1 shared Bhaskar Gurram· 1 shared David BelangeriD· 1 shared Deborah C. HoltiD· 1 shared Kian Soon HooniD· 1 shared Kristina ToutanovaiD· 1 shared Lucy J. ColwelliD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Andreea Gane

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Author profile →

2 papers

Recent·Most cited

ProtEx: A Retrieval-Augmented Approach for Protein Function Prediction

Peter Shaw, Bhaskar Gurram, David Belanger, Andreea Gane, Maxwell L. Bileschi, Lucy J. Colwell, Kristina Toutanova, Ankur P. Parikh

ProtEx improves protein function prediction by using retrieved exemplars, achieving state-of-the-art results for EC numbers, GO terms, and Pfam families.

bioRxiv · May 30, 2024 · PreprintBioinformatics

MinSNPs: an R package for derivation of resolution-optimised SNP sets from microbial genomic data

Kian Soon Hoon, Deborah C. Holt, Sarah Auburn, Peter Shaw, Philip M. Giffard

MinSNPs is an R package that derives resolution-optimised SNP sets from microbial genomic data for surveillance and genetic analysis.

bioRxiv · Jul 27, 2022 · PreprintBioinformatics