Author

Peter Clapham

Wellcome Sanger Institute

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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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Paul FlicekiD· 2 shared Aaron Day-Williams· 1 shared Adam P. Butler· 1 shared Aileen Reghan FoleyiD· 1 shared Alex Buchanan· 1 shared Allan Daly· 1 shared Ammal AbbasiiD· 1 shared Ana Mijalkovic Lazic· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenetics

Paul FlicekORCID

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Author profile →

3 papers

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

Low-frequency variation in TP53 has large effects on head circumference and intracranial volume

Simon J. Haworth, Chin Yang Shapland, Caroline Hayward, Bram Peter Prins, Janine F. Felix, Carolina Medina‐Gómez, Fernando Rivadeneira, Carol A. Wang, Tarunveer S. Ahluwalia, Martine Vrijheid, Mònica Guxens, Jordi Sunyer, Ioanna Tachmazidou, Klaudia Walter, Valentina Iotchkova, , David K. Jackson

The paper identifies 9 novel genetic loci, including low-frequency variants in TP53, associated with head circumference and intracranial volume in up to 46,000 individuals.

Nature Communications · Jan 21, 2019Peer-reviewedGenetics

Large-Scale Uniform Analysis of Cancer Whole Genomes in Multiple Computing Environments

Christina K. Yung, Brian D. O’Connor, Sergei Yakneen, Junjun Zhang, Kyle Ellrott, Kortine Kleinheinz, Naoki Miyoshi, Keiran M. Raine, Romina Royo, Gordon Saksena, Matthias Schlesner, Solomon I. Shorser, Miguel Vazquez, Joachim Weischenfeldt, Denis Yuen, , Charles L. Short

The paper describes the PCAWG project's large-scale analysis of cancer whole genomes across multiple computing environments, producing validated consensus variants for downstream research.

bioRxiv · Jul 10, 2017 · PreprintGenomics