Systems biology in the context of big data and networks.
Systems biology in the context of big data and networks.
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DOI：
10.1155/2014/428570
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发表时间：
2014
影响因子：
--
通讯作者：
Kanaya S
中科院分区：
文献类型：
--
作者：
Altaf-Ul-Amin M;Afendi FM;Kiboi SK;Kanaya S
科学正在经历两个快速变化的现象：一个是计算机和软件工具的能力从TB级增加到PB级，另一个是高通量分子生物学的进步，产生了与基因组、转录组、蛋白质组、代谢组、相互作用组相关的大量数据，生物学已经成为一门数据密集型科学，因此生物学和计算机科学已经成为由其他科学分支如统计学，数学，物理和化学。多功能知识的结合导致了大数据生物学、网络生物学和其他新的生物学分支的出现。例如，网络生物学促进了对细胞或细胞成分和子过程的系统级理解。它通常也被称为系统生物学。该领域的目的是了解生物体或细胞作为一个整体在不同层次的功能和机制。系统生物学正面临着分析大分子生物学数据和庞大生物网络的挑战。本文综述了大数据生物学和数据处理的进展，并介绍了网络和多变量分析在系统生物学中的一些应用。
Science is going through two rapidly changing phenomena: one is the increasing capabilities of the computers and software tools from terabytes to petabytes and beyond, and the other is the advancement in high-throughput molecular biology producing piles of data related to genomes, transcriptomes, proteomes, metabolomes, interactomes, and so on. Biology has become a data intensive science and as a consequence biology and computer science have become complementary to each other bridged by other branches of science such as statistics, mathematics, physics, and chemistry. The combination of versatile knowledge has caused the advent of big-data biology, network biology, and other new branches of biology. Network biology for instance facilitates the system-level understanding of the cell or cellular components and subprocesses. It is often also referred to as systems biology. The purpose of this field is to understand organisms or cells as a whole at various levels of functions and mechanisms. Systems biology is now facing the challenges of analyzing big molecular biological data and huge biological networks. This review gives an overview of the progress in big-data biology, and data handling and also introduces some applications of networks and multivariate analysis in systems biology.
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