title: Visualizing genomes: techniques and challenges.
abstract: As our ability to generate sequencing data continues to increase, data analysis is replacing data generation as the rate-limiting step in genomics studies. Here we provide a guide to genomic data visualization tools that facilitate analysis tasks by enabling researchers to explore, interpret and manipulate their data, and in some cases perform on-the-fly computations. We will discuss graphical methods designed for the analysis of de novo sequencing assemblies and read alignments, genome browsing, and comparative genomics, highlighting the strengths and limitations of these approaches and the challenges ahead.
authors.affiliation: British Columbia Cancer Agency, Genome Sciences Centre, Vancouver, Canada. cydneyn@bcgsc.ca
authors.forename: Cydney B
authors.initials: CB
authors.lastname: Nielsen
authors.forename: Michael
authors.initials: M
authors.lastname: Cantor
authors.forename: Inna
authors.initials: I
authors.lastname: Dubchak
authors.forename: David
authors.initials: D
authors.lastname: Gordon
authors.forename: Ting
authors.initials: T
authors.lastname: Wang
mesh_terms: D003196:Computer Graphics; D016678:Genome; D007091:Image Processing, Computer-Assisted