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Article

Improving imputation quality in BEAGLE for crop and livestock data

2019-03-16

Abstract excerpt

<h4>ABSTRACT</h4> Imputation is one of the key steps in the preprocessing and quality control protocol of any genetic study. Most imputation algorithms were originally developed for the use in human genetics and thus are optimized for a high level of genetic diversity. Different versions of BEAGLE were evaluated on genetic datasets of doubled haploids of two European maize landraces, a commercial breeding line an...

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Literature Corpus work
d1ea5c9c-aab7-534b-a7bb-54c362fc6e3e
DOI
10.1101/577338
Open publication

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Improving imputation quality in BEAGLE for crop and livestock dataDOI 10.1101/577338
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