Abstract

The direct detection of haplotypes from short-read DNA sequencing data requires changes to existing small-variant detection methods. Here, we develop a Bayesian statistical framework which is capable of modeling multiallelic loci in sets of individuals with non-uniform copy number. We then describe our implementation of this framework in a haplotype-based variant detector, FreeBayes.

Keywords

HaplotypeDNA sequencingBayesian probabilityComputer scienceHaplotype estimationComputational biologyGeneticsData miningBiologyArtificial intelligenceGeneGenotype

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Year
2012
Type
preprint
Citations
3988
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Erik Garrison, Gábor Marth (2012). Haplotype-based variant detection from short-read sequencing. arXiv (Cornell University) . https://doi.org/10.48550/arxiv.1207.3907

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DOI
10.48550/arxiv.1207.3907