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CyTargetLinker app update: A flexible solution for network extension in Cytoscape
Here, we present an update of the open-source CyTargetLinker app for Cytoscape ( http://apps.cytoscape.org/apps/cytargetlinker) that introduces new automation features. CyTargetLinker provides a simple interface to extend networks with links to relevant data and/or knowledge extracted from so-called...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707396/ https://www.ncbi.nlm.nih.gov/pubmed/31489175 http://dx.doi.org/10.12688/f1000research.14613.2 |
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author | Kutmon, Martina Ehrhart, Friederike Willighagen, Egon L. Evelo, Chris T. Coort, Susan L. |
author_facet | Kutmon, Martina Ehrhart, Friederike Willighagen, Egon L. Evelo, Chris T. Coort, Susan L. |
author_sort | Kutmon, Martina |
collection | PubMed |
description | Here, we present an update of the open-source CyTargetLinker app for Cytoscape ( http://apps.cytoscape.org/apps/cytargetlinker) that introduces new automation features. CyTargetLinker provides a simple interface to extend networks with links to relevant data and/or knowledge extracted from so-called linksets. The linksets are provided on the CyTargetLinker website ( https://cytargetlinker.github.io/) or can be custom-made for specific use cases. The new automation feature enables users to programmatically execute the app’s functionality in Cytoscape (command line tool) and with external tools (e.g. R, Jupyter, Python, etc). This allows users to share their analysis workflows and therefore increase repeatability and reproducibility. Three use cases demonstrate automated workflows, combinations with other Cytoscape apps and core Cytoscape functionality. We first extend a protein-protein interaction network created with the stringApp, with compound-target interactions and disease-gene annotations. In the second use case, we created a workflow to load differentially expressed genes from an experimental dataset and extend it with gene-pathway associations. Lastly, we chose an example outside the biological domain and used CyTargetLinker to create an author-article-journal network for the five authors of this manuscript using a two-step extension mechanism. With 400 downloads per month in the last year and nearly 20,000 downloads in total, CyTargetLinker shows the adoption and relevance of the app in the field of network biology. In August 2019, the original publication was cited in 83 articles demonstrating the applicability in biomedical research. |
format | Online Article Text |
id | pubmed-6707396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-67073962019-09-04 CyTargetLinker app update: A flexible solution for network extension in Cytoscape Kutmon, Martina Ehrhart, Friederike Willighagen, Egon L. Evelo, Chris T. Coort, Susan L. F1000Res Software Tool Article Here, we present an update of the open-source CyTargetLinker app for Cytoscape ( http://apps.cytoscape.org/apps/cytargetlinker) that introduces new automation features. CyTargetLinker provides a simple interface to extend networks with links to relevant data and/or knowledge extracted from so-called linksets. The linksets are provided on the CyTargetLinker website ( https://cytargetlinker.github.io/) or can be custom-made for specific use cases. The new automation feature enables users to programmatically execute the app’s functionality in Cytoscape (command line tool) and with external tools (e.g. R, Jupyter, Python, etc). This allows users to share their analysis workflows and therefore increase repeatability and reproducibility. Three use cases demonstrate automated workflows, combinations with other Cytoscape apps and core Cytoscape functionality. We first extend a protein-protein interaction network created with the stringApp, with compound-target interactions and disease-gene annotations. In the second use case, we created a workflow to load differentially expressed genes from an experimental dataset and extend it with gene-pathway associations. Lastly, we chose an example outside the biological domain and used CyTargetLinker to create an author-article-journal network for the five authors of this manuscript using a two-step extension mechanism. With 400 downloads per month in the last year and nearly 20,000 downloads in total, CyTargetLinker shows the adoption and relevance of the app in the field of network biology. In August 2019, the original publication was cited in 83 articles demonstrating the applicability in biomedical research. F1000 Research Limited 2019-08-13 /pmc/articles/PMC6707396/ /pubmed/31489175 http://dx.doi.org/10.12688/f1000research.14613.2 Text en Copyright: © 2019 Kutmon M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Kutmon, Martina Ehrhart, Friederike Willighagen, Egon L. Evelo, Chris T. Coort, Susan L. CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title | CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title_full | CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title_fullStr | CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title_full_unstemmed | CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title_short | CyTargetLinker app update: A flexible solution for network extension in Cytoscape |
title_sort | cytargetlinker app update: a flexible solution for network extension in cytoscape |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707396/ https://www.ncbi.nlm.nih.gov/pubmed/31489175 http://dx.doi.org/10.12688/f1000research.14613.2 |
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