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cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks

BACKGROUND: With the burgeoning development of cloud technology and services, there are an increasing number of users who prefer cloud to run their applications. All software and associated data are hosted on the cloud, allowing users to access them via a web browser from any computer, anywhere. Thi...

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Autores principales: Wang, Likun, Yang, Luhe, Peng, Zuohan, Lu, Dan, Jin, Yan, McNutt, Michael, Yin, Yuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331675/
https://www.ncbi.nlm.nih.gov/pubmed/25708840
http://dx.doi.org/10.1186/1752-0509-9-S1-S1
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author Wang, Likun
Yang, Luhe
Peng, Zuohan
Lu, Dan
Jin, Yan
McNutt, Michael
Yin, Yuxin
author_facet Wang, Likun
Yang, Luhe
Peng, Zuohan
Lu, Dan
Jin, Yan
McNutt, Michael
Yin, Yuxin
author_sort Wang, Likun
collection PubMed
description BACKGROUND: With the burgeoning development of cloud technology and services, there are an increasing number of users who prefer cloud to run their applications. All software and associated data are hosted on the cloud, allowing users to access them via a web browser from any computer, anywhere. This paper presents cisPath, an R/Bioconductor package deployed on cloud servers for client users to visualize, manage, and share functional protein interaction networks. RESULTS: With this R package, users can easily integrate downloaded protein-protein interaction information from different online databases with private data to construct new and personalized interaction networks. Additional functions allow users to generate specific networks based on private databases. Since the results produced with the use of this package are in the form of web pages, cloud users can easily view and edit the network graphs via the browser, using a mouse or touch screen, without the need to download them to a local computer. This package can also be installed and run on a local desktop computer. Depending on user preference, results can be publicized or shared by uploading to a web server or cloud driver, allowing other users to directly access results via a web browser. CONCLUSIONS: This package can be installed and run on a variety of platforms. Since all network views are shown in web pages, such package is particularly useful for cloud users. The easy installation and operation is an attractive quality for R beginners and users with no previous experience with cloud services.
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spelling pubmed-43316752015-03-25 cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks Wang, Likun Yang, Luhe Peng, Zuohan Lu, Dan Jin, Yan McNutt, Michael Yin, Yuxin BMC Syst Biol Proceedings BACKGROUND: With the burgeoning development of cloud technology and services, there are an increasing number of users who prefer cloud to run their applications. All software and associated data are hosted on the cloud, allowing users to access them via a web browser from any computer, anywhere. This paper presents cisPath, an R/Bioconductor package deployed on cloud servers for client users to visualize, manage, and share functional protein interaction networks. RESULTS: With this R package, users can easily integrate downloaded protein-protein interaction information from different online databases with private data to construct new and personalized interaction networks. Additional functions allow users to generate specific networks based on private databases. Since the results produced with the use of this package are in the form of web pages, cloud users can easily view and edit the network graphs via the browser, using a mouse or touch screen, without the need to download them to a local computer. This package can also be installed and run on a local desktop computer. Depending on user preference, results can be publicized or shared by uploading to a web server or cloud driver, allowing other users to directly access results via a web browser. CONCLUSIONS: This package can be installed and run on a variety of platforms. Since all network views are shown in web pages, such package is particularly useful for cloud users. The easy installation and operation is an attractive quality for R beginners and users with no previous experience with cloud services. BioMed Central 2015-01-21 /pmc/articles/PMC4331675/ /pubmed/25708840 http://dx.doi.org/10.1186/1752-0509-9-S1-S1 Text en Copyright © 2015 Wang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Wang, Likun
Yang, Luhe
Peng, Zuohan
Lu, Dan
Jin, Yan
McNutt, Michael
Yin, Yuxin
cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title_full cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title_fullStr cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title_full_unstemmed cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title_short cisPath: an R/Bioconductor package for cloud users for visualization and management of functional protein interaction networks
title_sort cispath: an r/bioconductor package for cloud users for visualization and management of functional protein interaction networks
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331675/
https://www.ncbi.nlm.nih.gov/pubmed/25708840
http://dx.doi.org/10.1186/1752-0509-9-S1-S1
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