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 836708
  • - Editorial

Big Data and Network Biology

Shigehiko Kanaya | Md. Altaf-Ul-Amin | ... | Farit Mochamad Afendi
  • Special Issue
  • - Volume 2014
  • - Article ID 428570
  • - Review Article

Systems Biology in the Context of Big Data and Networks

Md. Altaf-Ul-Amin | Farit Mochamad Afendi | ... | Shigehiko Kanaya
  • Special Issue
  • - Volume 2014
  • - Article ID 893501
  • - Research Article

AmalgamScope: Merging Annotations Data across the Human Genome

Georgia Tsiliki | Konstantinos Tsaramirsis | Sophia Kossida
  • Special Issue
  • - Volume 2014
  • - Article ID 753428
  • - Research Article

Integration of Residue Attributes for Sequence Diversity Characterization of Terpenoid Enzymes

Nelson Kibinge | Shun Ikeda | ... | Shigehiko Kanaya
  • Special Issue
  • - Volume 2014
  • - Article ID 272915
  • - Research Article

OWL Reasoning Framework over Big Biological Knowledge Network

Huajun Chen | Xi Chen | ... | Tong Yu
  • Special Issue
  • - Volume 2014
  • - Article ID 253128
  • - Research Article

A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature

À. Bravo | M. Cases | ... | L. I. Furlong
  • Special Issue
  • - Volume 2014
  • - Article ID 278748
  • - Research Article

Integrated Analysis of Gene Network in Childhood Leukemia from Microarray and Pathway Databases

Amphun Chaiboonchoe | Sandhya Samarasinghe | ... | Kourosh Salehi-Ashtiani
  • Special Issue
  • - Volume 2014
  • - Article ID 194812
  • - Research Article

Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data

Nozomu Sakurai | Takeshi Ara | ... | Daisuke Shibata
  • Special Issue
  • - Volume 2014
  • - Article ID 831751
  • - Research Article

Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database

Sony Hartono Wijaya | Husnawati Husnawati | ... | Shigehiko Kanaya
  • Special Issue
  • - Volume 2014
  • - Article ID 205239
  • - Research Article

A Novel Feature Selection Strategy for Enhanced Biomedical Event Extraction Using the Turku System

Jingbo Xia | Alex Chengyu Fang | Xing Zhang
BioMed Research International
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Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
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