title: The visual language of synteny.
abstract: The study of polygenic disorders such as cardiovascular and metabolic diseases requires access to vast amounts of experimental and in silico data. Where animal models of disease are being used, visualization of syntenic genome regions is one of the most important tools supporting data analysis. We define what is required to visualize synteny in terms of the data being displayed, the screen layout, and user interaction. We then describe a prototype visualization tool, SyntenyVista, which provides integrated access to quantitative trait loci, microarray, and gene datasets. We believe that SyntenyVista is a significant step towards an improved representation of comparative genomics data.
authors.affiliation: Department of Computing Science, University of Glasgow, Glasgow, United Kingdom. ela@dcs.gla.ac.uk
authors.forename: Ela
authors.initials: E
authors.lastname: Hunt
authors.forename: Neil
authors.initials: N
authors.lastname: Hanlon
authors.forename: David P
authors.initials: DP
authors.lastname: Leader
authors.forename: Hunter
authors.initials: H
authors.lastname: Bryce
authors.forename: Anna F
authors.initials: AF
authors.lastname: Dominiczak
mesh_terms: D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping; D019295:Computational Biology; D003196:Computer Graphics; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D016678:Genome; D023281:Genomics / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D040641:Quantitative Trait Loci; D012984:Software; D014584:User-Computer Interface