Transcript 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.
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?
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?
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?