Readings in information visualization
Evolving visual metaphors and dynamic tools for bioinformatics visualization
Proceedings of the conference on Visualization '02
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
The Next Frontier for Bio- and Cheminformatics Visualization
IEEE Computer Graphics and Applications
Image-Browser Taxonomy and Guidelines for Designers
IEEE Software
The information mural: a technique for displaying and navigating large information spaces
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Global visualization and alignments of whole bacterial genomes
IEEE Transactions on Visualization and Computer Graphics
Bioinformatic Insights from Metagenomics through Visualization
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
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New high-throughput proteomic techniques generate data faster than biologists can analyze it. Hidden within this massive and complex data are answers to basic questions about how cells function. The data afford an opportunity to take a global or systems approach studying whole proteomes comprising all the proteins in an organism. However, the tremendous size and complexity of the high-throughput data make it difficult to process and interpret. Existing tools for studying a few proteins at a time are not suitable for global analysis. Visualization provides powerful analysis capabilities for enormous, complex data at multiple resolutions. We developed a novel interactive visualization tool, PQuad, for the visual analysis of proteins and peptides identified from high-throughput data on biological samples. PQuad depicts the peptides in the context of their source protein and DNA, thereby integrating proteomic and genomic information. A wrapped line metaphor is applied across key resolutions of the data, from a compressed view of an entire chromosome to the actual nucleotide sequence. PQuad provides a difference visualization for comparing peptides from samples prepared under different experimental conditions. We describe the requirements for such a visual analysis tool, the design decisions, and the novel aspects of PQuad.