Author

Brett Sundlof

HudsonAlpha Institute for Biotechnology

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Bioinformatics· 1

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

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

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2021-2021 · peak 1/yr

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1 paper

Recent·Most cited

BioinformaticsGenetics in MedicinePeer-reviewedMar 25, 2021

Reducing Sanger Confirmation Testing through False Positive Prediction Algorithms

James Holt, Melissa Kelly, Brett Sundlof…·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%.

14 citations

humanwhole-genome sequencing

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