Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications.

Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications.

Low-density (LD) single nucleotide polymorphism (SNP) arrays provide a cost-effective solution for genomic prediction and selection, but algorithms and computational tools are needed for the optimal design of LD SNP chips. A multiple-objective, local optimization (MOLO) algorithm was developed for d...

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Bibliographic Details
Main Authors: Xiao-Lin Wu, Jiaqi Xu, Guofei Feng, George R Wiggans, Jeremy F Taylor, Jun He, Changsong Qian, Jiansheng Qiu, Barry Simpson, Jeremy Walker, Stewart Bauck
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5008792?pdf=render

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http://europepmc.org/articles/PMC5008792?pdf=render

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