BDI 2015 - Special Session on Biomedical Data Integration and Mining in the Era of Big Data

With the advent of high throughput technologies, especially next generation sequencing, an increasing number of data are generated in biomedical research. These big biomedical data encourage researchers to develop novel data integration and mining methodologies. Tools and techniques for analyzing big biomedical data enable a transformation of basic biomedical research to clinical applications. This session provides a forum for researchers to present and discuss the latest research results, to summarize recent advances, to evaluate existing algorithms and methods, and to timely identify and address emerging problems and challenges with regard to biomedical data integration and mining in the era of big data. We invite the submission of high-quality, original and unpublished papers in this area. Topics for this session include, but are not limited to:
Disease gene network/pathway analysis
Proteomics, and protein structure prediction
Next generation sequencing data analysis, applications, and tools
Drug discovery, design, and repurposing
Applications of systems biology approaches to biomedical studies
Integrative analysis of omics data
Medical informatics and translational bioinformatics
Big data science including storage, analysis, modeling and visualization
Manuscripts should follow LNCS format with at most 12 pages. All accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) series or a recommended SCI-indexed journal.