Author

Kurt Gaastra

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 Len Trigg· 2 shared Mehul Rathod· 2 shared Richard Littin· 2 shared Ross Braithwaite· 2 shared Stuart Inglis· 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

BioinformaticsbioRxivPreprintAug 3, 2015

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

John G. Cleary, Ross Braithwaite, Kurt Gaastra…·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.

DOI 10.1101/023754

whole-genome sequencingstatistical model

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BioinformaticsJournal of Computational BiologyPeer-reviewedMay 29, 2014

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

John G Cleary, Ross Braithwaite, Kurt Gaastra…·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.

DOI 10.1089/cmb.2014.0029

humanwhole-genome sequencing

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