代谢组
药物基因组学
计算机科学
数据科学
生物信息学
组学
数据库
计算生物学
代谢组学
生物
出处
期刊:Methods in molecular biology
日期:2022-10-14
卷期号:: 265-274
标识
DOI:10.1007/978-1-0716-2617-7_13
摘要
The explosion of the "omics" era has introduced a growing number of sets and tools that facilitate molecular interrogation of the metabolome. These include various bioinformatics and pharmacogenomics resources that can be utilized independently or collectively to facilitate metabolic engineering across disease, clinical oncology, and understanding of molecular changes across larger systems. This review provides starting points for accessing publicly available data and computational tools that support assessment of metabolic profiles and metabolic regulation, providing both a depth-and-breadth approach toward understanding the metabolome. We focus in particular on pathway databases and tools, which provide in-depth analysis of metabolic pathways, which is at the heart of metabolic engineering.
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