MacPherson, J. I., Pinney, J. W. and Robertson, D. L. (2009) JNets: exploring networks by integrating annotation. BMC Bioinformatics, 10, 95. (doi: 10.1186/1471-2105-10-95) (PMID:19323810) (PMCID:PMC2674432)
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Abstract
Background: A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published network visualizations are static representations that do not support user interaction. Results: JNets was designed as a network visualization tool that incorporates annotation to explore the underlying features of interaction networks. The software is available as an application and a configurable applet that can provide a flexible and dynamic online interface to many types of network data. As a case study, we use JNets to investigate approved drug targets present within the HIV-1 Human protein interaction network. Our software highlights the intricate influence that HIV-1 has on the host immune response. Conclusion: JNets is a software tool that allows interaction networks to be visualized and studied remotely, from within a standard web page. Therefore, using this free software, network data can be presented in an enhanced, interactive format. More information about JNets is available at http:/ /www.manchester.ac.uk/bioinformatics/jnets.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Robertson, Professor David |
Authors: | MacPherson, J. I., Pinney, J. W., and Robertson, D. L. |
College/School: | College of Medical Veterinary and Life Sciences > School of Infection & Immunity College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research |
Journal Name: | BMC Bioinformatics |
Publisher: | Biomed Central |
ISSN: | 1471-2105 |
ISSN (Online): | 1471-2105 |
Copyright Holders: | Copyright © 2009 MacPherson et al. |
First Published: | First published in BMC Bioinformatics 10: 95 |
Publisher Policy: | Reproduced under a Creative Commons License |
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