GenVision™ v2.0                            


Genomic Data Organization and Visualization



GenVision is a genomic visualization software package designed to permit easy generation of publication quality graphics and maps. The software assures you of high quality graphics that can be customized to accentuate specific areas of interest. Version 2.0 builds on the strong GenVision reputation by adding features to make it more flexible in the changing sequence analysis market.

New Features in GenVision v2.0 include:

  • Easy merging of projects

  • Easier customization of images
  • Additional output formats
  • Improved memory handling for larger projects


    • GenVision Circular map

    GenVision creates images of large quantities of data. It permits users to display annotations of different data types. The software, which has already been used to publish a number of annotated genomes, has proven to be a powerful tool for visualizing large or complex data sets. In addition to annotated genomes, GenVision can also be used to visualize data comparisons. The images below illustrate gene expression levels resulting from multiple expression experiments (left) and a comparison of gene functionality in different species (right).


    (Click images to enlarge)

    GenVision Gene Expression GenVision Gene Functionality


    Pictured below is a display of a linear map of C. elegans, Chromosome V. Data files used to generate the image were imported from the SeqMan Pro module of Lasergene. The coverage threshold histogram shows thick green where coverage meets the criteria for both the coverage threshold and minimum number on each strand; thin green where both strands are covered but coverage threshold is not met; thin blue where coverage is on one strand only; and red where coverage is by a single read only. Coverage depth shows the number of reads at each position on a scale of 0 to 1000.


      (Click image to enlarge)
     
      Linear Map Display

    As these examples indicate, GenVision images can be customized in many ways.

    Annotations can be displayed as histograms, arrows, text labels or graphs. Each of these elements is drawn in relation to the genomic sequence coordinates.