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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Detalles Bibliográficos
Autores principales: Wu, Xiao-Lin, Xu, Jiaqi, Feng, Guofei, Wiggans, George R., Taylor, Jeremy F., He, Jun, Qian, Changsong, Qiu, Jiansheng, Simpson, Barry, Walker, Jeremy, Bauck, Stewart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008792/
https://www.ncbi.nlm.nih.gov/pubmed/27583971
http://dx.doi.org/10.1371/journal.pone.0161719

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008792/
https://www.ncbi.nlm.nih.gov/pubmed/27583971
http://dx.doi.org/10.1371/journal.pone.0161719

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