An inferred functional impact map of genetic variants in rice

• Published in: Molecular plant Vol. 14; no. 9; pp. 1584 - 1599
• Main Authors: Zhao, Hu, Li, Jiacheng, Yang, Ling, Qin, Gang, Xia, Chunjiao, Xu, Xingbing, Su, Yangmeng, Liu, Yinmeng, Ming, Luchang, Chen, Ling-Ling, Xiong, Lizhong, Xie, Weibo
• Format: Journal Article
• Language: English
• Published: England Elsevier Inc 06.09.2021
• Subjects: amino acids; chromatin; chromatin accessibility; Databases, Nucleic Acid; deep learning; functional impact map; genetic variants; Genetic Variation; Genome, Plant; genomics; Genotype; Haplotypes; INDEL Mutation; neural networks; Oryza - genetics; Oryza sativa; Polymorphism, Single Nucleotide; rice; genetic variants; deep learning; rice; chromatin accessibility; functional impact map

Interpreting the functional impacts of genetic variants (GVs) is an important challenge for functional genomic studies in crops and next-generation breeding. Previous studies in rice (Oryza sativa) have focused mainly on the identification of GVs, whereas systematic functional annotation of GVs has...