BioMed Research International

Big Data and Network Biology


Publishing date
21 Mar 2014
Status
Published
Submission deadline
01 Nov 2013

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:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 765648
  • - Research Article

A Novel Bioinformatics Method for Efficient Knowledge Discovery by BLSOM from Big Genomic Sequence Data

Yu Bai | Yuki Iwasaki | ... | Toshimichi Ikemura
  • Special Issue
  • - Volume 2014
  • - Article ID 439476
  • - Review Article

Applied Graph-Mining Algorithms to Study Biomolecular Interaction Networks

Ru Shen | Chittibabu Guda
  • Special Issue
  • - Volume 2014
  • - Article ID 154594
  • - Research Article

An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data

Md. Altaf-Ul-Amin | Tetsuo Katsuragi | ... | Shigehiko Kanaya
  • Special Issue
  • - Volume 2014
  • - Article ID 527029
  • - Review Article

Survey of Network-Based Approaches to Research of Cardiovascular Diseases

Anida Sarajlić | Nataša Pržulj
  • Special Issue
  • - Volume 2014
  • - Article ID 136130
  • - Research Article

Essential Functional Modules for Pathogenic and Defensive Mechanisms in Candida albicans Infections

Yu-Chao Wang | I-Chun Tsai | ... | Bor-Sen Chen
  • Special Issue
  • - Volume 2014
  • - Article ID 985706
  • - Research Article

Visualization of Genome Signatures of Eukaryote Genomes by Batch-Learning Self-Organizing Map with a Special Emphasis on Drosophila Genomes

Takashi Abe | Yuta Hamano | Toshimichi Ikemura
BioMed Research International
 Journal metrics
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Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
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