Panel Topics

Data integration from multiple sources to identify gene networks and pathways for complex diseases.

Network and pathway analysis using next generation sequencing data: challenges and opportunities.

Identification of tissue/cell specific gene networks and pathways.

Data integration from multiple sources to identify gene networks and pathways for complex diseases – e.g., TCGA dataTCGA data contains both expression,

epigenetic, genetic (SNP, CNV, somatic mutation) and clinical information.

How can expression (phenotype) and genotype information be integrated?

What kind of new information can be derived from the integration?

How can clinical information (treatment, survival, pathology) be utilized?

Identification of tissue/cell specific gene networks and pathwaysHow can tissue/cell specific information be

identified?How can such information be integrated with

existing information such as protein-protein interaction network databases?

What are the methods for comparing networks – membership, connectivity, topology, function, etc?

Network and pathway analysis using next generation sequencing data: challenges and opportunities

What new sequencing techniques can aid Network and pathway analysis?

How do these techniques differ from existing technologies?

Will new sequencing technologies replace existing ones?