Example: GView Results for Job 3

February 9, 2021: Job submission for GView Server is back to normal.

View

The above images are previews of the GView Server analysis. Clicking on the image will display a full size version.

Clicking Launch GView Webstart will open the results in GView, an interactive circular and linear genome viewer, where you can pan, zoom, and interact with the results. GView requires Java 1.6 or greater and at least 512MB of memory.

The Core Genome analysis type displays the core genes within the reference file and the uploaded query files. These are calculated by performing a BLAST analysis between the reference and query genomes, and only displaying regions where there are BLAST hits between the reference and all of the query genomes. The slot containing the reference genome displays all the features selected in the Customize and Complete step of the job construction. An example of how to interpret a Core analysis can be found on the examples page at Core Analysis Example.

Download

The below table lists a set of downloadable files containing the resulting data of this analysis. There are two types of data that can be downloaded: the GView zip package, and the BLAST results table. The zip package contains all the necessary information to launch GView offline. The BLAST Results table contains the results of the BLAST analyses that were performed on the uploaded data in a tabular format. To launch GView offline, please execute the appropriate QuickLaunch program, either QuickLaunch.bat or QuickLaunch.sh.

FileTypeDescription
gview-all-3.zip GView Data + Executable Contains the resulting data plus the GView executable.
gview-data-3.zip GView Data Contains only the resulting data from the job, not the gview executable.
blast-results-3.csv BLAST Results Table A table of the resulting BLAST hits, in csv format. The results may take a while to download for large data sets.
blast-results-3.xls BLAST Results Table A table of the resulting BLAST hits, in excel format. The results may take a while to download for large data sets.