Dynamic visualization and comparative analysis of multiple collinear genomic data

  • Authors:
  • Jeremy Wang;Fernando Pardo-Manuel de Villena;Leonard McMillan

  • Affiliations:
  • University of North Carolina, Chapel Hill, NC;University of North Carolina, Chapel Hill, NC;University of North Carolina, Chapel Hill, NC

  • Venue:
  • Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
  • Year:
  • 2011

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Abstract

We have developed a novel tool for visualizing and analyzing multiple collinear genomes. Unlike previous genome browsers and viewers, ours allows for simultaneous and comparative analysis. Our browser is web-based and provides intuitive selection and interactive navigation about features of interest. Dynamic visualizations adjust to scale and data content making analysis at variable resolutions and of multiple data sets more informative. Our tool illustrates genomesequence similarity through a mosaic of intervals representing local phylogeny, subspecific origin, and haplotype identity. Comparative analysis is facilitated through reordering and clustering of tracks, which can vary throughout the genome. In addition, we provide local phylogenetic trees as an alternate visualization to assess local variations. We demonstrate our genome browser for an extensive set of genomic data sets composed of almost 200 distinct mouse strains.