Author

Quentin Berthet

Google (United States)ORCID 0000-0001-7272-0013Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Felipe Llinares-López· 2 shared Jean‐Philippe VertiD· 2 shared Aaron M. WengeriD· 1 shared Alexey KolesnikoviD· 1 shared Andrew W. CarrolliD· 1 shared Armin TöpferiD· 1 shared Ashish VaswaniiD· 1 shared Cory Y. McLeaniD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Felipe Llinares-López

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedDec 15, 2022

Deep embedding and alignment of protein sequences

Felipe Llinares-López, Quentin Berthet, Mathieu Blondel…·Jean‐Philippe Vert

This paper introduces DEDAL, a deep learning model for protein sequence alignment that improves accuracy on remote homologs compared to existing methods.

58 citationstop 4%

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 31, 2021

DeepConsensus: Gap-Aware Sequence Transformers for Sequence Correction

Gunjan Baid, Daniel E. Cook, Kishwar Shafin…·Andrew W. Carroll

DeepConsensus improves PacBio HiFi read accuracy and assembly quality using a gap-aware transformer model.

8 citations

humanlong-read sequencing

𝕏 PostBluesky