Integrative genomics has been widely applied to biomedical and biological research thanks to the exponential growth of the omics data. Translational bioinformatics is an emerging field focusing on applying informatics methodology to the increasing amount of biomedical and genomic data in order to generate knowledge for clinical applications. Research activities in both areas have been seen rapidly expanding.

Potential topics include, but are not limited to:

• Multidimensional omics data integration and analysis in complex disease
• Novel algorithms and analysis on emerging high throughput techniques such as ChIP-exo, Hi-C, and CLIP/RIP-seq, etc.
• Systems/network biology approach to complex diseases
• Cancer genome analysis and medical genomics
• Single cell data analysis
• Proteomics and biomarker discovery
• Personalized medicine and systems pharmacology
• Pharmacogenomics and bioimage informatics
• Big data science including storage, analysis, modeling and visualization
• High performance computing in biomedical research
• Machine learning, data mining, text mining, and knowledge discovery in medicine
• Visualization of complex data in medicine