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- W178855212 abstract "In this study we propose a novel approach for phasing genotypes over long regions, which is based on combining information from local predictions on short, overlapping regions. The phasing is done in a way which maximizes a natural maximum likelihood criterion. Among other things, this criterion takes into account the physical length between neighboring SNPs. We further give a confidence score to each position of the prediction, and use correlation information from the entire population to correct low confidence predictions. We evaluated our algorithm on two real datasets using two different measures. Our results demonstrate the effectiveness of the approach. In all our tests we significantly outperformed the PHASE [20] method. Our method is publicly available via a webserver at http://www.calit2.net/compbio/hap/." @default.
- W178855212 created "2016-06-24" @default.
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- W178855212 date "2008-01-01" @default.
- W178855212 modified "2023-09-26" @default.
- W178855212 title "Optimally Phasing Long Genomic Regions using Local Haplotype Predictions" @default.
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