Comparison and integration of computational methods for deleterious synonymous mutation prediction

• Published in: Briefings in bioinformatics Vol. 21; no. 3; pp. 970 - 981
• Main Authors: Cheng, Na, Li, Menglu, Zhao, Le, Zhang, Bo, Yang, Yuhua, Zheng, Chun-Hou, Xia, Junfeng
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 21.05.2020; Oxford Publishing Limited (England)
• Subjects: Algorithms; Amino acids; Computer applications; Genomes; Identification methods; Mathematical models; mRNA; Mutation; Next-generation sequencing; Nucleotides; Performance enhancement; Performance evaluation; Performance prediction; Predictions; Robustness (mathematics); Structure-function relationships; ensemble learning; deleterious synonymous mutation; prediction model; machine learning

Abstract Synonymous mutations do not change the encoded amino acids but may alter the structure or function of an mRNA in ways that impact gene function. Advances in next generation sequencing technologies have detected numerous synonymous mutations in the human genome. Several computational models...