BioMed Research International

Big Data and Network Biology 2015


Status
Published

1Nara Institute of Science and Technology, Nara, Japan

2University of Nairobi, Nairobi, Kenya

3Bogor Agricultural University (IPB), Bogor, Indonesia


Big Data and Network Biology 2015

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 and protein-DNA interaction, gene expression, 3D structure of omics molecules, 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 this special issue, 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

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 604623
  • - Editorial

Big Data and Network Biology 2015

Shigehiko Kanaya | Md. Altaf-Ul-Amin | ... | Farit Mochamad Afendi
  • Special Issue
  • - Volume 2015
  • - Article ID 748681
  • - Research Article

An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species

Deborah Galpert | Sara del Río | ... | Guillermin Agüero-Chapin
  • Special Issue
  • - Volume 2015
  • - Article ID 506052
  • - Research Article

Development of Self-Compressing BLSOM for Comprehensive Analysis of Big Sequence Data

Akihito Kikuchi | Toshimichi Ikemura | Takashi Abe
  • Special Issue
  • - Volume 2015
  • - Article ID 328568
  • - Research Article

Cellular Metabolic Network Analysis: Discovering Important Reactions in Treponema pallidum

Xueying Chen | Min Zhao | Hong Qu
  • Special Issue
  • - Volume 2015
  • - Article ID 670949
  • - Research Article

Systematic Analysis of the Associations between Adverse Drug Reactions and Pathways

Xiaowen Chen | Yanqiu Wang | ... | Wei Jiang
  • Special Issue
  • - Volume 2015
  • - Article ID 139254
  • - Research Article

Development and Mining of a Volatile Organic Compound Database

Azian Azamimi Abdullah | Md. Altaf-Ul-Amin | ... | Shigehiko Kanaya
  • Special Issue
  • - Volume 2015
  • - Article ID 254838
  • - Research Article

METSP: A Maximum-Entropy Classifier Based Text Mining Tool for Transporter-Substrate Identification with Semistructured Text

Min Zhao | Yanming Chen | ... | Hong Qu
  • Special Issue
  • - Volume 2015
  • - Article ID 671058
  • - Research Article

Analysis of Chemical Properties of Edible and Medicinal Ginger by Metabolomics Approach

Ken Tanaka | Masanori Arita | ... | Yasuhiro Tezuka
  • Special Issue
  • - Volume 2015
  • - Article ID 146365
  • - Research Article

Discovering Distinct Functional Modules of Specific Cancer Types Using Protein-Protein Interaction Networks

Ru Shen | Xiaosheng Wang | Chittibabu Guda
  • Special Issue
  • - Volume 2015
  • - Article ID 986436
  • - Research Article

Shaped 3D Singular Spectrum Analysis for Quantifying Gene Expression, with Application to the Early Zebrafish Embryo

Alex Shlemov | Nina Golyandina | ... | Alexander Spirov
BioMed Research International
 Journal metrics
Acceptance rate30%
Submission to final decision69 days
Acceptance to publication36 days
CiteScore2.410
Impact Factor2.197
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