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MAGNET: MicroArray Gene expression and Network Evaluation Toolkit

MicroArray Gene expression and Network Evaluation Toolkit (MAGNET) is a web-based application that provides tools to generate and score both protein–protein interaction networks and coexpression networks. MAGNET integrates user-provided experimental measurements with high-throughput proteomic datase...

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Detalles Bibliográficos
Autores principales: Linderman, George C., Chance, Mark R., Bebek, Gurkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394302/
https://www.ncbi.nlm.nih.gov/pubmed/22669910
http://dx.doi.org/10.1093/nar/gks526
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author Linderman, George C.
Chance, Mark R.
Bebek, Gurkan
author_facet Linderman, George C.
Chance, Mark R.
Bebek, Gurkan
author_sort Linderman, George C.
collection PubMed
description MicroArray Gene expression and Network Evaluation Toolkit (MAGNET) is a web-based application that provides tools to generate and score both protein–protein interaction networks and coexpression networks. MAGNET integrates user-provided experimental measurements with high-throughput proteomic datasets, generating weighted gene–gene and protein–protein interaction networks. MAGNET allows users to weight edges of protein–protein interaction networks using a logistic regression model integrating tissue-specific gene expression data, sub-cellular localization data, co-clustering of interacting proteins and the number of observations of the interaction. This provides a way to quantitatively measure the plausibility of interactions in protein–protein interaction networks given protein/gene expression measurements. Secondly, MAGNET generates filtered coexpression networks, where genes are represented as nodes, and their correlations are represented with edges. Overall, MAGNET provides researchers with a new framework with which to analyze and generate gene–gene and protein–protein interaction networks, based on both the user’s own data and publicly available –omics datasets. The freely available service and documentation can be accessed at http://gurkan.case.edu/software or http://magnet.case.edu.
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spelling pubmed-33943022012-07-30 MAGNET: MicroArray Gene expression and Network Evaluation Toolkit Linderman, George C. Chance, Mark R. Bebek, Gurkan Nucleic Acids Res Articles MicroArray Gene expression and Network Evaluation Toolkit (MAGNET) is a web-based application that provides tools to generate and score both protein–protein interaction networks and coexpression networks. MAGNET integrates user-provided experimental measurements with high-throughput proteomic datasets, generating weighted gene–gene and protein–protein interaction networks. MAGNET allows users to weight edges of protein–protein interaction networks using a logistic regression model integrating tissue-specific gene expression data, sub-cellular localization data, co-clustering of interacting proteins and the number of observations of the interaction. This provides a way to quantitatively measure the plausibility of interactions in protein–protein interaction networks given protein/gene expression measurements. Secondly, MAGNET generates filtered coexpression networks, where genes are represented as nodes, and their correlations are represented with edges. Overall, MAGNET provides researchers with a new framework with which to analyze and generate gene–gene and protein–protein interaction networks, based on both the user’s own data and publicly available –omics datasets. The freely available service and documentation can be accessed at http://gurkan.case.edu/software or http://magnet.case.edu. Oxford University Press 2012-07 2012-06-04 /pmc/articles/PMC3394302/ /pubmed/22669910 http://dx.doi.org/10.1093/nar/gks526 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Linderman, George C.
Chance, Mark R.
Bebek, Gurkan
MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title_full MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title_fullStr MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title_full_unstemmed MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title_short MAGNET: MicroArray Gene expression and Network Evaluation Toolkit
title_sort magnet: microarray gene expression and network evaluation toolkit
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394302/
https://www.ncbi.nlm.nih.gov/pubmed/22669910
http://dx.doi.org/10.1093/nar/gks526
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