Author

Jon W. Teague

Wellcome Sanger InstituteORCID 0000-0002-0846-1296Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jon W. Teague1 paper

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ammal AbbasiiD· 1 shared Andreas J GruberiD· 1 shared Azhar KhandekariD· 1 shared Boian S. AlexandroviD· 1 shared Burçak OtluiD· 1 shared Christopher D. SteeleiD· 1 shared David C. WedgeiD· 1 shared David J. AdamsiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ammal AbbasiORCID

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1 paper

Recent·Most cited

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

S. M. Ashiqul Islam, Marcos Díaz‐Gay, Yang Wu, Mark D. Barnes, Raviteja Vangara, Erik N. Bergstrom, Yudou He, Mike Vella, Jingwei Wang, Jon W. Teague, Peter Clapham, Sarah Moody, Sergey Senkin, Yun Rose Li, Laura Riva, , Ludmil B. Alexandrov

SigProfilerExtractor is a tool for de novo mutational signature extraction that outperforms existing methods and identifies four novel signatures, including one linked to tobacco smoking.

Cell Genomics · Sep 23, 2022Peer-reviewedBioinformatics