D. Emig, K. Klein, A. Kunert, Petra Mutzel, M. Albrecht
{"title":"Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events","authors":"D. Emig, K. Klein, A. Kunert, Petra Mutzel, M. Albrecht","doi":"10.1109/MEDIVIS.2008.16","DOIUrl":null,"url":null,"abstract":"In recent years, comprehensive studies of protein and domain networks have produced large amounts of interaction data. Further work has revealed that alternative splicing is a major cause of the observed protein and interaction diversity. Special microarrays now allow for measuring gene expression at the exon level, which enables the identification of alternative splicing events. We developed the Cytoscape plugin DomainGraph that facilitates the construction and visualization of protein and domain interaction networks. This plugin additionally supports the integration of exon expression data to highlight the effects of alternative splicing on the networks. We also designed and implemented a radial layout algorithm that specifically takes the integrated biological information for the networks into account and improves the visual presentation of the protein domain graphs considerably.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEDIVIS.2008.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 2
Abstract
In recent years, comprehensive studies of protein and domain networks have produced large amounts of interaction data. Further work has revealed that alternative splicing is a major cause of the observed protein and interaction diversity. Special microarrays now allow for measuring gene expression at the exon level, which enables the identification of alternative splicing events. We developed the Cytoscape plugin DomainGraph that facilitates the construction and visualization of protein and domain interaction networks. This plugin additionally supports the integration of exon expression data to highlight the effects of alternative splicing on the networks. We also designed and implemented a radial layout algorithm that specifically takes the integrated biological information for the networks into account and improves the visual presentation of the protein domain graphs considerably.
期刊介绍:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.