We have adapted the Java Molecular Viewer (JMV) to virtual reality display environments, through a number of extensions to the Java 3d code. Phylogenetic information derived from multiple alignments (temporal informat...
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We have adapted the Java Molecular Viewer (JMV) to virtual reality display environments, through a number of extensions to the Java 3d code. Phylogenetic information derived from multiple alignments (temporal information) can be overlaid onto molecule structures (spatial information). The number of sequences included in the underlying multiple alignment can be changed instantaneously, resulting in dynamical updates of the displayed information. JMV was also extended to handle an infinite number of objects (molecules) in the same display. The objects can be manipulated in six degrees of freedom simultaneously or independently. We have used the small subunit ribosomal RNA to demonstrate the system (http://***), which can be used for any molecule with a resolved structure.
Genetic diseases anddevelopmental patterns should be studied on several levels: from macroscale (organs and tissues) to nanoscale (cells, genes, proteins). due to the overwhelming complexity of the life science data,...
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Genetic diseases anddevelopmental patterns should be studied on several levels: from macroscale (organs and tissues) to nanoscale (cells, genes, proteins). due to the overwhelming complexity of the life science data, it is common that disparate data pieces are meticulously stored but never fully analyzed or correlated. We have begun to develop a novel methodology based on virtual reality techniques for the study of these phenomena. Our key approach to knowledge integration is a top-down mapping of data onto visual contexts. For each organism that we want to study, a structural model is created and used as a visual "wireframe" onto which other data types are superimposed in a top-down assembly. data analysis tools, visual controls, and queries are enabled so that users can interactively explore data. Our visualization technology gives users an opportunity to map disparate data onto a common model, and search visually for hitherto unknown patterns and correlations contained within the data. It is our goal to eventually transform genomics research from measuring various data pieces analytically into a fully interactive exploration of combineddata in a 4d immersive visual environment that best matches a researcher's intuition.
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