BioVis 2011 Abstract

VESPA: Visual Exploration and Statistics to Promote Annotation for Prokaryotic Genomes Bobbie-Jo Webb-Robertson, Elena Peterson, Jeffrey Jensen, Mark Kobold, Hyunjoo Walker, William Cannon, Lee Ann McCue

Visual Exploration and Statistics to Promote Annotation (VESPA) is an interactive visual analytics tool that integrates high-throughput data into a genomic context to facilitate the discovery of structural mis-annotations in prokaryotic genomes. Data is evaluated via visual analysis across multiple levels of genomic resolution, linked searches and interaction with existing bioinformatics tools. We highlight the novel functionality of VESPA and core programming requirements for visualization of these large heterogeneous datasets for a client-side application.

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