Author

Brett Sundlof

HudsonAlpha Institute for Biotechnology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

David P BickiD· 1 shared Elaine Lyon· 1 shared Ghunwa A. NakouziiD· 1 shared James HoltiD· 1 shared Melissa KellyiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

David P BickORCID

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1 paper

Recent·Most cited

Reducing Sanger Confirmation Testing through False Positive Prediction Algorithms

James Holt, Melissa Kelly, Brett Sundlof, Ghunwa A. Nakouzi, David P Bick, Elaine Lyon

This study uses machine learning to predict false positive variants in clinical genome sequencing, reducing the need for confirmatory Sanger testing by 78.22%.

Genetics in Medicine · Mar 25, 2021Peer-reviewedBioinformatics