Core 4: Integrated Visualization and Analysis of Biological Context

Specific Aims

• Specific Aim 1: Develop and deploy extensions to Cytoscape and Chimera that will support the integration of macromolecular structural visualization and analysis with network visualization and analysis.
• Specific Aim 2: Develop and deploy tools to support the analysis of high-throughput data (genetic, mRNA expression, RNA-Seq, ChIP-Seq, Hi-C) in the context of biological pathways, protein-protein interaction networks, or other biological network representation.
  • Aim 2A: Extend existing clustering tools to support fuzzy clustering
  • Aim 2B: Support visualizations and analyses that allow comparisons between species, conditions, and time series data
  • Aim 2C: Investigate the potential value of a 3D visualization of Hi-C epigenetic data
• Specific Aim 3: Support the investigation of protein function through the visualization and analysis of protein similarity networks.
  • Aim 3A: Extend and enhance Cytoscape plugin to improve usability and functionality. Specifically, add support to allow end-users to visualize their proteins in the context of SFLD similarity networks.
  • Aim 3B: Support the interactive visualization of very large networks.
• Specific Aim 4: Improve the overall Cytoscape user experience for RBVI collaborators and DBPs
  • Aim 4B: Improve grouping by visually identifying grouped nodes and allowing for progressive disclosure concepts with the Cytoscape core.
  • Aim 4C: Add new techniques for visually mapping data to network elements such as nodes and edges.