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).