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Bioinformatics· 1

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

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Carlos D. Bustamante· 1 shared Francisco M. De La Vega· 1 shared Kathleen C. Barnes· 1 shared Margaret A. Taub· 1 shared Rasika A. Mathias· 1 shared Raul Torres· 1 shared Ryan D. Hernandez· 1 shared Suyash S. Shringarpure· 1 shared

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1 shared paperBioinformatics

Carlos D. Bustamante

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BioinformaticsbioRxivPreprintSep 30, 2016

Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data

Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez…·Behalf of the CAAPA consortium

The paper improves variant call sets from deep coverage whole-genome sequencing data by comparing multi- and single-sample variant calls using a Random Forest classifier trained on genotype array data.

DOI 10.1101/078642

humanwhole-genome sequencing

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