生物
候选基因
背景(考古学)
计算生物学
DNA测序
基因
遗传关联
遗传学
开源
数据科学
生物信息学
联想(心理学)
单核苷酸多态性
计算机科学
基因型
软件
认识论
哲学
古生物学
程序设计语言
标识
DOI:10.1016/j.tig.2021.07.009
摘要
Important factors contribute to a gained momentum in candidate gene association studies (CGASs), including the generalized use of next-generation sequencing (NGS), growing opportunities for hospital-based research, and the availability of open-source databases and bioinformatics tools. This article summarizes the general principles and analytical methods as a guide to CGASs in today's favorable context.
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