Author

Lewis Jonathan Dursi

Ontario Institute for Cancer ResearchORCID 0000-0002-4697-798XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Lewis Jonathan Dursi2 papers

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam Lipski· 1 shared Adam P. Butler· 1 shared Alex Buchanan· 1 shared Amanjeev SethiiD· 1 shared Ana Mijalkovic Lazic· 1 shared André KahlesiD· 1 shared Andrew Ponomarev· 1 shared Andy CafferkeyiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Adam Lipski

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2 papers

Recent·Most cited

CanDIG: Secure Federated Genomic Queries and Analyses Across Jurisdictions

Lewis Jonathan Dursi, Zoltán Bozóky, Richard de Borja, Jimmy Li, David Bujold, Adam Lipski, Shaikh Farhan Rashid, Amanjeev Sethi, Neelam Memon, Dashaylan Naidoo, Felipe Coral-Sasso, Matthew Wong, Pierre-Olivier Quirion, Zhibin Lu, Samarth Agarwal, , Michael Brudno

CanDIG enables secure, federated genomic and health data analysis across jurisdictions while maintaining data locality and privacy.

bioRxiv · Mar 30, 2021 · PreprintGenomics

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