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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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/. |
format | Online Article Text |
id | pubmed-9352203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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