Freeman, Tom C. and Horsewell, Sebastian and Patir, Anirudh and Harling-Lee, Josh and Regan, Tim and Shih, Barbara B. and Prendergast, James and Hume, David A. and Angus, Tim (2022) Graphia : A platform for the graph-based visualisation and analysis of high dimensional data. PLoS Computational Biology, 18 (7): e1010310. ISSN 1553-734X
Full text not available from this repository.Abstract
Graphia is an open-source platform created for the graph-based analysis of the huge amounts of quantitative and qualitative data currently being generated from the study of genomes, genes, proteins metabolites and cells. Core to Graphia’s functionality is support for the calculation of correlation matrices from any tabular matrix of continuous or discrete values, whereupon the software is designed to rapidly visualise the often very large graphs that result in 2D or 3D space. Following graph construction, an extensive range of measurement algorithms, routines for graph transformation, and options for the visualisation of node and edge attributes are available, for graph exploration and analysis. Combined, these provide a powerful solution for the interpretation of high-dimensional data from many sources, or data already in the form of a network or equivalent adjacency matrix. Several use cases of Graphia are described, to showcase its wide range of applications in the analysis biological data. Graphia runs on all major desktop operating systems, is extensible through the deployment of plugins and is freely available to download from https://graphia.app/.