We have created a prototype tool called Seqeyes to explore and interpret predicted structural variations to help guide experimental validations. Users can sort, filter, and aggregate samples based on clinical attributes. Our tool provides both linear and circular representations. Multiple molecular data types including copy number, gene expression, and methylation microarrays for each sample are integrated as additional genomic tracks. We leverage advanced open-source indexes available to greatly enhance the speed and amount of data available to visualize. Seqeyes is a novel multi-scale visualization that can interactively navigate dozens of genomes down to individual sequencing reads within a web browser.