Investigating the Systems Biology in the Context of Big Data, Statistics and Networks

Science has been going through two rapidly evolving phenomena since the beginning of the current millennium: one is that the capabilities of computers and software tools are increasing from terabytes to petabytes and beyond, and the other is the advancement in molecular biological experiments that generate piles of genome and RNA sequence data, protein and metabolite abundance, protein-protein protein-protein abundance, These two domains, as a natural result, have been complemented by other branches of science, such as statistics, mathematics, physics, chemistry, etc. The emergence of big data biology, network biology and many other new subjects was thus induced by the combination of flexible expertise. Network biology makes it easier to understand cell or cellular components and sub-processes at the system level. Thus, advanced biology has recently become a data-intensive science, and system biology is the name of this very modern branch of biology. The purpose of the biology of systems is to understand organisms or cells. On different levels of roles and processes as a whole. However to accomplish that along the way, Objective Many other functional applications will be invented and implemented, such as the development of new applications Medical tests for development, medications, foods, electricity, materials, sensors, etc. The biology of processes now faces the Challenges in the study of massive biological molecular data and vast biological networks. Chapter of This Book In the sense of Big Data, Statistics and Networks, it will focus on certain aspects of Systems Biology.

Author (s) Details

Md. Altaf-Ul-Amin
Nara Institute of Science and Technology (NAIST), Japan.

Farit Mochamad Afendi
Bogor Agricultural University, Indonesia.

Shigehiko Kanaya
Nara Institute of Science and Technology (NAIST), Japan.

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