Graphia is a new open-source platform created for the graph-based analysis of complex high dimensional data, e.g. transcriptomics, proteomics, genomics data. The software imports data already defined as a network or a similarity matrix and is designed to rapidly visualize very large graphs in 2D or 3D space, providing a wide range of functionality for the exploration of very large graphs. An extensive range of analysis algorithms, routines for graph transformation, and options for the visualization of node and edge attributes are also available within the tool. Graphia’s core is extensible through the deployment of plugins, supporting rapid development of additional computational analyses and features necessary for a given analysis task or data source. A plugin for correlation network analysis is distributed with the core application, to support the generation of correlation graphs from any tabular matrix of continuous or discrete values. This provides a powerful analysis solution for the interpretation of high-dimensional data from many sources. Several use cases of Graphia are described, to showcase its wide range of applications.
Graphia runs on all major desktop operating systems and is freely available to download from https://graphia.app/.
- Data and operating system agnostic
- Fast and scalable
- Dynamic rendering 3D graph visualization
- Correlation graphs as an essential function
- Attribute handling and visualization
- Advanced analysis capabilities
- User friendly
See also preprint on BioRxiv