Graphia: A platform for the graph-based visualisation and analysis of high dimensional data

被引：30

作者：

Freeman, Tom C. ^{[1
,2
,4
]}

Horsewell, Sebastian ^{[2
]}

Patir, Anirudh ^{[1
]}

Harling-Lee, Josh ^{[1
]}

Regan, Tim ^{[1
]}

Shih, Barbara B. ^{[1
]}

Prendergast, James ^{[1
]}

Hume, David A. ^{[3
]}

Angus, Tim ^{[2
,4
]}

机构：

[1] Univ Edinburgh, Roslin Inst, Easter Bush Campus, Edinburgh, Midlothian, Scotland

[2] Univ Edinburgh, Roslin Innovat Ctr, Kajeka Ltd, Easter Bush Campus, Edinburgh, Midlothian, Scotland

[3] Univ Queensland, Translat Res Inst, Mater Res Inst, Woolloongabba, Qld, Australia

[4] Janssen Immunol, Spring House, PA 19477 USA

来源：

PLOS COMPUTATIONAL BIOLOGY | 2022年 / 18卷 / 07期

基金：

英国生物技术与生命科学研究理事会;

关键词：

NETWORKS;

D O I：

10.1371/journal.pcbi.1010310

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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/.

引用

页数：17

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