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

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 m...

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Detalles Bibliográficos
Autores principales: Freeman, Tom C., Horsewell, Sebastian, Patir, Anirudh, Harling-Lee, Josh, Regan, Tim, Shih, Barbara B., Prendergast, James, Hume, David A., Angus, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352203/
https://www.ncbi.nlm.nih.gov/pubmed/35877685
http://dx.doi.org/10.1371/journal.pcbi.1010310
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author Freeman, Tom C.
Horsewell, Sebastian
Patir, Anirudh
Harling-Lee, Josh
Regan, Tim
Shih, Barbara B.
Prendergast, James
Hume, David A.
Angus, Tim
author_facet Freeman, Tom C.
Horsewell, Sebastian
Patir, Anirudh
Harling-Lee, Josh
Regan, Tim
Shih, Barbara B.
Prendergast, James
Hume, David A.
Angus, Tim
author_sort Freeman, Tom C.
collection PubMed
description 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/.
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spelling pubmed-93522032022-08-05 Graphia: A platform for the graph-based visualisation and analysis of high dimensional data Freeman, Tom C. Horsewell, Sebastian Patir, Anirudh Harling-Lee, Josh Regan, Tim Shih, Barbara B. Prendergast, James Hume, David A. Angus, Tim PLoS Comput Biol Research Article 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/. Public Library of Science 2022-07-25 /pmc/articles/PMC9352203/ /pubmed/35877685 http://dx.doi.org/10.1371/journal.pcbi.1010310 Text en © 2022 Freeman et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Freeman, Tom C.
Horsewell, Sebastian
Patir, Anirudh
Harling-Lee, Josh
Regan, Tim
Shih, Barbara B.
Prendergast, James
Hume, David A.
Angus, Tim
Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title_full Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title_fullStr Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title_full_unstemmed Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title_short Graphia: A platform for the graph-based visualisation and analysis of high dimensional data
title_sort graphia: a platform for the graph-based visualisation and analysis of high dimensional data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352203/
https://www.ncbi.nlm.nih.gov/pubmed/35877685
http://dx.doi.org/10.1371/journal.pcbi.1010310
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