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ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases

Although pathways are widely used for the analysis and representation of biological systems, their lack of clear boundaries, their dispersion across numerous databases, and the lack of interoperability impedes the evaluation of the coverage, agreements, and discrepancies between them. Here, we prese...

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Autores principales: Domingo-Fernández, Daniel, Hoyt, Charles Tapley, Bobis-Álvarez, Carlos, Marín-Llaó, Josep, Hofmann-Apitius, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292919/
https://www.ncbi.nlm.nih.gov/pubmed/30564458
http://dx.doi.org/10.1038/s41540-018-0078-8
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author Domingo-Fernández, Daniel
Hoyt, Charles Tapley
Bobis-Álvarez, Carlos
Marín-Llaó, Josep
Hofmann-Apitius, Martin
author_facet Domingo-Fernández, Daniel
Hoyt, Charles Tapley
Bobis-Álvarez, Carlos
Marín-Llaó, Josep
Hofmann-Apitius, Martin
author_sort Domingo-Fernández, Daniel
collection PubMed
description Although pathways are widely used for the analysis and representation of biological systems, their lack of clear boundaries, their dispersion across numerous databases, and the lack of interoperability impedes the evaluation of the coverage, agreements, and discrepancies between them. Here, we present ComPath, an ecosystem that supports curation of pathway mappings between databases and fosters the exploration of pathway knowledge through several novel visualizations. We have curated mappings between three of the major pathway databases and present a case study focusing on Parkinson’s disease that illustrates how ComPath can generate new biological insights by identifying pathway modules, clusters, and cross-talks with these mappings. The ComPath source code and resources are available at https://github.com/ComPath and the web application can be accessed at https://compath.scai.fraunhofer.de/.
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spelling pubmed-62929192018-12-18 ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases Domingo-Fernández, Daniel Hoyt, Charles Tapley Bobis-Álvarez, Carlos Marín-Llaó, Josep Hofmann-Apitius, Martin NPJ Syst Biol Appl Technology Feature Although pathways are widely used for the analysis and representation of biological systems, their lack of clear boundaries, their dispersion across numerous databases, and the lack of interoperability impedes the evaluation of the coverage, agreements, and discrepancies between them. Here, we present ComPath, an ecosystem that supports curation of pathway mappings between databases and fosters the exploration of pathway knowledge through several novel visualizations. We have curated mappings between three of the major pathway databases and present a case study focusing on Parkinson’s disease that illustrates how ComPath can generate new biological insights by identifying pathway modules, clusters, and cross-talks with these mappings. The ComPath source code and resources are available at https://github.com/ComPath and the web application can be accessed at https://compath.scai.fraunhofer.de/. Nature Publishing Group UK 2018-12-13 /pmc/articles/PMC6292919/ /pubmed/30564458 http://dx.doi.org/10.1038/s41540-018-0078-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Technology Feature
Domingo-Fernández, Daniel
Hoyt, Charles Tapley
Bobis-Álvarez, Carlos
Marín-Llaó, Josep
Hofmann-Apitius, Martin
ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title_full ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title_fullStr ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title_full_unstemmed ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title_short ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
title_sort compath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases
topic Technology Feature
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292919/
https://www.ncbi.nlm.nih.gov/pubmed/30564458
http://dx.doi.org/10.1038/s41540-018-0078-8
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