Development of a high-throughput SNP array for sea cucumber (Apostichopus japonicus) and its application in genomic selection with MCP regularized deep neural networks

• Published in: Genomics (San Diego, Calif.) Vol. 114; no. 4; p. 110426
• Main Authors: Lv, Jia, Wang, Yangfan, Ni, Ping, Lin, Ping, Hou, Hu, Ding, Jun, Chang, Yaqing, Hu, Jingjie, Wang, Shi, Bao, Zhenmin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2022
• Subjects: algorithms; animals; Apostichopus japonicus; Deep neural networks; Genomic selection; genomics; genotyping; marker-assisted selection; MCP; Molecular breeding; prediction; Sea cucumber; single nucleotide polymorphism; single nucleotide polymorphism arrays; SNP Array; Molecular breeding; Sea cucumber; Deep neural networks; MCP; SNP Array; Genomic selection

High-throughput single nucleotide polymorphism (SNP) genotyping assays are powerful tools for genetic studies and genomic breeding applications for many species. Though large numbers of SNPs have been identified in sea cucumber (Apostichopus japonicus), but, as yet, no high-throughput genotyping pla...