Author

Stuart Inglis

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· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alan Jackson· 2 shared David Ware· 2 shared Kurt Gaastra· 2 shared Len Trigg· 2 shared Mehul Rathod· 2 shared Richard Littin· 2 shared Ross Braithwaite· 2 shared Brian S Hilbush· 1 shared

Activity by Year

2014-2015 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Alan Jackson

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2 papers

Recent·Most cited

Comparing Variant Call Files for Performance Benchmarking of Next-Generation Sequencing Variant Calling Pipelines

John G. Cleary, Ross Braithwaite, Kurt Gaastra, Brian S. Hilbush, Stuart Inglis, Sean A. Irvine, Alan Jackson, Richard Littin, Mehul Rathod, David Ware, Justin M. Zook, Len Trigg, Francisco M. De La Vega

The paper develops a novel algorithm to accurately compare variant call files by addressing representation discrepancies in VCF data, enabling reliable performance benchmarking of variant calling pipelines.

bioRxiv · Aug 3, 2015 · PreprintBioinformatics

Joint variant and de novo mutation identification on pedigrees from high-throughput sequencing data

John G Cleary, Ross Braithwaite, Kurt Gaastra, Brian S Hilbush, Stuart Inglis, Sean A Irvine, Alan Jackson, Richard Littin, Sahar Nohzadeh-Malakshah, Minita Shah, Mehul Rathod, David Ware, Len Trigg, Francisco M De La Vega

This paper introduces a Bayesian network framework for joint variant and de novo mutation identification in pedigrees, showing improved accuracy over singleton and population-based methods.

Journal of Computational Biology · May 29, 2014Peer-reviewedBioinformatics