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The DisGeNET cytoscape app: Exploring and visualizing disease genomics data

Thanks to the unbiased exploration of genomic variants at large scale, hundreds of thousands of disease-associated loci have been uncovered. In parallel, network-based approaches have proven to be essential to understand the molecular mechanisms underlying human diseases. The use of these approaches...

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Autores principales: Piñero, Janet, Saüch, Josep, Sanz, Ferran, Furlong, Laura I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163863/
https://www.ncbi.nlm.nih.gov/pubmed/34136095
http://dx.doi.org/10.1016/j.csbj.2021.05.015
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author Piñero, Janet
Saüch, Josep
Sanz, Ferran
Furlong, Laura I.
author_facet Piñero, Janet
Saüch, Josep
Sanz, Ferran
Furlong, Laura I.
author_sort Piñero, Janet
collection PubMed
description Thanks to the unbiased exploration of genomic variants at large scale, hundreds of thousands of disease-associated loci have been uncovered. In parallel, network-based approaches have proven to be essential to understand the molecular mechanisms underlying human diseases. The use of these approaches has been boosted by the abundance of information about disease associated genes and variants, high quality human interactomics data, and the emergence of new types of omics data. The DisGeNET Cytoscape App combines the capabilities of Cytoscape with those of DisGeNET, a knowledge platform based on a comprehensive catalogue of disease-associated genes and variants. The DisGeNET Cytoscape App contains functions to query, analyze, and visualize different network representations of the gene-disease and variant-disease associations available in DisGeNET. It supports a wide variety of applications through its query and filter functionalities, including the annotation of foreign networks generated by other apps or uploaded by the user. The new release of the DisGeNET Cytoscape App has been designed to support Cytoscape 3.x and incorporates novel distinctive features such as visualization and analysis of variant-disease networks, disease enrichment analysis for genes and variants, and analytic support through Cytoscape Automation. Moreover, the DisGeNET Cytoscape App features an API to access its core functionalities via the REST protocol fostering the development of reproducible and scalable analysis workflows based on DisGeNET data.
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spelling pubmed-81638632021-06-15 The DisGeNET cytoscape app: Exploring and visualizing disease genomics data Piñero, Janet Saüch, Josep Sanz, Ferran Furlong, Laura I. Comput Struct Biotechnol J Research Article Thanks to the unbiased exploration of genomic variants at large scale, hundreds of thousands of disease-associated loci have been uncovered. In parallel, network-based approaches have proven to be essential to understand the molecular mechanisms underlying human diseases. The use of these approaches has been boosted by the abundance of information about disease associated genes and variants, high quality human interactomics data, and the emergence of new types of omics data. The DisGeNET Cytoscape App combines the capabilities of Cytoscape with those of DisGeNET, a knowledge platform based on a comprehensive catalogue of disease-associated genes and variants. The DisGeNET Cytoscape App contains functions to query, analyze, and visualize different network representations of the gene-disease and variant-disease associations available in DisGeNET. It supports a wide variety of applications through its query and filter functionalities, including the annotation of foreign networks generated by other apps or uploaded by the user. The new release of the DisGeNET Cytoscape App has been designed to support Cytoscape 3.x and incorporates novel distinctive features such as visualization and analysis of variant-disease networks, disease enrichment analysis for genes and variants, and analytic support through Cytoscape Automation. Moreover, the DisGeNET Cytoscape App features an API to access its core functionalities via the REST protocol fostering the development of reproducible and scalable analysis workflows based on DisGeNET data. Research Network of Computational and Structural Biotechnology 2021-05-11 /pmc/articles/PMC8163863/ /pubmed/34136095 http://dx.doi.org/10.1016/j.csbj.2021.05.015 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Piñero, Janet
Saüch, Josep
Sanz, Ferran
Furlong, Laura I.
The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title_full The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title_fullStr The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title_full_unstemmed The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title_short The DisGeNET cytoscape app: Exploring and visualizing disease genomics data
title_sort disgenet cytoscape app: exploring and visualizing disease genomics data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163863/
https://www.ncbi.nlm.nih.gov/pubmed/34136095
http://dx.doi.org/10.1016/j.csbj.2021.05.015
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