University of Tasmania
Browse
1471-2164-8-439-1.jpg (71.06 kB)

Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets-0

Download (0 kB)
figure
posted on 2011-12-31, 01:46 authored by Claude Chelala, Stephan A Hahn, Hannah J Whiteman, Sayka Barry, Deepak Hariharan, Tomasz P Radon, Nicholas R Lemoine, Tatjana Crnogorac-Jurcevic

Copyright information:

Taken from "Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets"

http://www.biomedcentral.com/1471-2164/8/439

BMC Genomics 2007;8():439-439.

Published online 28 Nov 2007

PMCID:PMC2216037.

ed samples only and/or to extract the upstream sequence data for these genes. This query starts by choosing the "Pancreatic Expression Database" from the "" drop-down selection in the right panel. Users will be automatically directed to the ")" dataset with the left panel displaying the "" and "" nodes with their default settings. The next step involves choosing the appropriate attributes and filters to restrict the query. Clicking on the "" or "" nodes on the left will display the related page where "" or "" are arranged into sections, which can be expanded/collapsed using the "+/-" box. To choose an attribute or a filter, users can simply click on the checkbox next to its description. A summary of the selected filters and attributes is automatically displayed in the left panel. Clicking on the "" button in the tool bar at any time when constructing the query will return the number of genes satisfying the pre-selected criteria. One can select the option to download the results to a file at the top of the result page and export them using the "GO" button. Again, there are options to change the format ("HTML", "CSV" for comma separated values, "TSV" for tab separated values, "XLS" for Excel, "ADF" for array description format) and whether to make the results unique. One can select a compressed file output and the query will run in the background to be downloaded later. One needs to provide an email address to receive an URL in a notification email that allows the query results to be downloaded. 1. Filter: in this example, the query was restricted by selecting the "" node on the left and choosing the filter options on the right. Next, the filter section "" was expanded in order to select the ")" and limited the output to the ")" from the "" drop down menu. This is to avoid retrieving all the information about the genes satisfying the search criteria. 2. Attributes: these are arranged into five pages for "", "", "", "" and "". In order to select the output content, the "" node on the left needs to be clicked on and the attribute page on the right needs to be chosen. A. from the "" attribute page, the section "" was expanded and "" selected by typing in "" basepair as an "". B. from the "" attribute page, one can expand the attribute section "" where the ", "", "" and "" default options are displayed. 3. Results: clicking on the "Count" button displays 1082 genes satisfying the search criteria. Clicking on the "" button on the toolbar retrieves the final query results. By default, this shows the first 10 results in fasta format (A) and in hyper-linked HTML format (B) but the number and format can be altered using the drop-downs above this preview, as described above. Checking the "Unique results only" in (B) displays the unique rows only from the result table.

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC