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Automation of ReactomeFIViz via CyREST API

Pathway- and network-based approaches project seemingly unrelated genes onto the context of pathways and networks, enhancing the analysis power that cannot be achieved via gene-based approaches. Pathway and network approaches are routinely applied in large-scale data analysis for cancer and other co...

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Detalles Bibliográficos
Autores principales: Loney, Fred, Wu, Guanming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998009/
https://www.ncbi.nlm.nih.gov/pubmed/29946442
http://dx.doi.org/10.12688/f1000research.14776.2
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author Loney, Fred
Wu, Guanming
author_facet Loney, Fred
Wu, Guanming
author_sort Loney, Fred
collection PubMed
description Pathway- and network-based approaches project seemingly unrelated genes onto the context of pathways and networks, enhancing the analysis power that cannot be achieved via gene-based approaches. Pathway and network approaches are routinely applied in large-scale data analysis for cancer and other complicated diseases. ReactomeFIViz is a Cytoscape app, providing features for researchers to perform pathway- and network-based data analysis and visualization by leveraging manually curated Reactome pathways and highly reliable Reactome functional interaction network. To facilitate adoption of this app in bioinformatics software pipeline and workflow development, we develop a CyREST API for ReactomeFIViz by exposing some major features in the app. We describe a use case to demonstrate the use of this API in a Python-based notebook, and believe the new API will provide the community a convenient and powerful tool to perform pathway- and network-based data analysis and visualization using our app in an automatic way.
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spelling pubmed-59980092018-06-25 Automation of ReactomeFIViz via CyREST API Loney, Fred Wu, Guanming F1000Res Software Tool Article Pathway- and network-based approaches project seemingly unrelated genes onto the context of pathways and networks, enhancing the analysis power that cannot be achieved via gene-based approaches. Pathway and network approaches are routinely applied in large-scale data analysis for cancer and other complicated diseases. ReactomeFIViz is a Cytoscape app, providing features for researchers to perform pathway- and network-based data analysis and visualization by leveraging manually curated Reactome pathways and highly reliable Reactome functional interaction network. To facilitate adoption of this app in bioinformatics software pipeline and workflow development, we develop a CyREST API for ReactomeFIViz by exposing some major features in the app. We describe a use case to demonstrate the use of this API in a Python-based notebook, and believe the new API will provide the community a convenient and powerful tool to perform pathway- and network-based data analysis and visualization using our app in an automatic way. F1000 Research Limited 2018-05-23 /pmc/articles/PMC5998009/ /pubmed/29946442 http://dx.doi.org/10.12688/f1000research.14776.2 Text en Copyright: © 2018 Loney F and Wu G 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
Loney, Fred
Wu, Guanming
Automation of ReactomeFIViz via CyREST API
title Automation of ReactomeFIViz via CyREST API
title_full Automation of ReactomeFIViz via CyREST API
title_fullStr Automation of ReactomeFIViz via CyREST API
title_full_unstemmed Automation of ReactomeFIViz via CyREST API
title_short Automation of ReactomeFIViz via CyREST API
title_sort automation of reactomefiviz via cyrest api
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998009/
https://www.ncbi.nlm.nih.gov/pubmed/29946442
http://dx.doi.org/10.12688/f1000research.14776.2
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