| | 1 | = Core 4: Integrated Visualization and Analysis of Biological Context = |
| | 2 | == Specific Aims == |
| | 3 | * 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. |
| | 4 | * 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. |
| | 5 | * Aim 2A: Extend existing clustering tools to support fuzzy clustering |
| | 6 | * Aim 2B: Support visualizations and analyses that allow comparisons between species, conditions, and time series data |
| | 7 | * Aim 2C: Investigate the potential value of a 3D visualization of Hi-C epigenetic data |
| | 8 | * Specific Aim 3: Support the investigation of protein function through the visualization and analysis of protein similarity networks. |
| | 9 | * 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. |
| | 10 | * Aim 3B: Support the interactive visualization of very large networks. |
| | 11 | * Specific Aim 4: Improve the overall Cytoscape user experience for RBVI collaborators and DBPs |
| | 12 | * Aim 4B: Improve grouping by visually identifying grouped nodes and allowing for progressive disclosure concepts with the Cytoscape core. |
| | 13 | * Aim 4C: Add new techniques for visually mapping data to network elements such as nodes and edges. |