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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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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. |
format | Online Article Text |
id | pubmed-8163863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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