Big Data and Network Biology
1Nara Institute of Science and Technology, 8916-5 Takayama, Nara, Ikoma, Japan
2University of Nairobi, P.O. Box 30197, Nairobi 00100, Kenya
3Bogor Agricultural University (IPB), Jl. Meranti, West Java, Bogor 16680, Indonesia
Big Data and Network Biology
Description
From the beginning of the present millennium, science is going through two rapidly changing phenomena: one is that the capabilities of the computers and software tools are increasing from terabytes to petabytes and beyond, and the other is the advancement in molecular biological experiments producing piles of data related to genome and RNA sequence, protein and metabolite abundance, protein-protein interaction, gene expression, and so on. As a natural consequence, these two fields have become complementary to each other bridged by other branches of science, e.g., statistics, mathematics, physics, chemistry, and so on. Thus, the combination of versatile knowledge caused the advent of big data biology, network biology, and many other new subjects.
Network biology facilitates the system-level understanding of the cell or cellular components and subprocesses. Big biological data can be transformed into versatile networks, and therefore big data biology and network biology are linked to each other. In the special issue entitled “Big Data and Network Biology,” we are calling papers on new ways to collect, store, retrieve, filter, integrate, analyze, and share biological data, novel analytical tools, and novel information extracted from big biological data and biological networks. Potential topics include, but are not limited to:
- Next generation sequencing for custom genomics
- Microarray analysis and disease genomics
- Protein-protein interaction, gene regulatory, and metabolic and signaling networks
- Reverse engineering of metabolic networks
- Biomarkers and drug discovery
- Networks of drugs and diseases
- Effects of metabolites on human health
- Systems biology and synthetic biology
- Omics databases and data analysis
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/bmri/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/bmri/bioinformatics/bdnb/ according to the following timetable: