Sockeye: A 3D Environment for Comparative Genomics

Stephen B. Montgomery(Canada's Michael Smith Genome Sciences Centre), Tamara Astakhova(Canada's Michael Smith Genome Sciences Centre), Mikhail Bilenky(Canada's Michael Smith Genome Sciences Centre), Ewan Birney(European Bioinformatics Institute), Tony Fu(Canada's Michael Smith Genome Sciences Centre), Maik Hassel(Canada's Michael Smith Genome Sciences Centre), Craig Melsopp(European Bioinformatics Institute), Marcin Rak(Canada's Michael Smith Genome Sciences Centre), A. Gordon Robertson(Canada's Michael Smith Genome Sciences Centre), Monica C. Sleumer(Canada's Michael Smith Genome Sciences Centre), Asim Siddiqui(Canada's Michael Smith Genome Sciences Centre), Steven J.M. Jones(Canada's Michael Smith Genome Sciences Centre)
Genome Research
May 1, 2004
Cited by 39Open Access
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Abstract

Comparative genomics techniques are used in bioinformatics analyses to identify the structural and functional properties of DNA sequences. As the amount of available sequence data steadily increases, the ability to perform large-scale comparative analyses has become increasingly relevant. In addition, the growing complexity of genomic feature annotation means that new approaches to genomic visualization need to be explored. We have developed a Java-based application called Sockeye that uses three-dimensional (3D) graphics technology to facilitate the visualization of annotation and conservation across multiple sequences. This software uses the Ensembl database project to import sequence and annotation information from several eukaryotic species. A user can additionally import their own custom sequence and annotation data. Individual annotation objects are displayed in Sockeye by using custom 3D models. Ensembl-derived and imported sequences can be analyzed by using a suite of multiple and pair-wise alignment algorithms. The results of these comparative analyses are also displayed in the 3D environment of Sockeye. By using the Java3D API to visualize genomic data in a 3D environment, we are able to compactly display cross-sequence comparisons. This provides the user with a novel platform for visualizing and comparing genomic feature organization.


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