Computational systems biology for omics data analysis
作者机构：Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai 200031 China
出 版 物：《Journal of Molecular Cell Biology》 (分子细胞生物学报（英文版）)
年 卷 期：2019年第11卷第8期
页 面：631-632页
核心收录：
学科分类：0710[理学-生物学] 07[理学] 09[农学]
主 题：Computational systems biology omics data analysis
摘 要：Recent trend on biological data at a molecular level is omics data analysis for both bulk and single cells, in eluding genomics, proteomics, metabolomics, and epigenetics data (Wang and Zhang, 2017;Zhang et al., 2017;Zhao and Li, 2017;Cheng and Leung, 2018). Rapid accumulation of such high-dimensional biological data is driving the system-level study from describing complex phenomena to understanding molecular mechanisms (Park et al., 2018;Sun et al., 2018) and from analyzi ng in dividual components to understanding their networks and systems (Chen et al., 2009;Chen, 2017).
维普期刊数据库