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Panel Topics

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.

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Panel Topics

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  1. 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.

  2. Data integration from multiple sources to identify gene networks and pathways for complex diseases – e.g., TCGA data • TCGA 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?

  3. Identification of tissue/cell specific gene networks and pathways • How 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?

  4. 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?

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