Integrated Approach in Systems Biology
1Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Londonderry, UK
2Bioinformatics Division, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
3Department of Biomedical Informatics, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
Integrated Approach in Systems Biology
Description
Systems biology is a field within biology aimed at understanding biological processes at the systems level and emerging from dynamic interactions of individual components operating at multiple spatiotemporal scales. It is now an established and fundamental interdisciplinary research field. Systems biology studies biological systems by systematically perturbing them (biologically, genetically, or chemically); monitoring the gene, protein, and informational pathway responses; integrating these data; ultimately, formulating mathematical models that describe the structure of the system and predict its response to individual perturbations. Integrated “omics” approaches have created exciting opportunities for systems biology and other biological researches.
The aim of this special issue is to provide an international forum to discuss the most recent developments in the field regarding integrated data analysis approaches in systems biology research such as pattern recognition and prediction, modeling and simulation, and data representation and visualisation. The special issue will feature “integrated approach” and “complex biological system” themes. Potential topics include, but are not limited to:
- Large-scale or cross-species data integration for the reconstruction of networks and pathways
- Genomic data analysis using systems biology approaches
- Quantitative understanding of dynamics of regulatory, signalling, interaction, and metabolic networks through modeling and simulation techniques
- Prediction of protein/RNA structure and biological networks interactions
- Data integration and knowledge-driven approach in biomarker identification and drug discovery
- Enhancement and enablement of knowledge discovery in functional genomics of disease and other phenotypes through integrated omics approach
- Semantic webs and ontology-driven biological data integration methods
- Development of integrated systems biology visualisation and analysis tools
- Development of integrated systems biology visualisation and analysis tools
- Integrating approaches in transitional bioinformatics and personalized medicine
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/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/cmmm/bsb/ according to the following timetable: