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Digital Karyotyping

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Digital Karyotyping Data Viewer (DKView)

Digital karyotyping is a sequence-based method for detecting genomic amplifications and deletions. It works by counting the relative frequency of experimentally observed tags which are mapped to a set of approximately 800,000 predicted (virtual) on the genome.

Virtual DK tags are based on the following build of the human genome:

NCBI Build Number: 36
Version: 3
Release date: 24 March 2008
For a detailed description of the method, see the following:
Tian-Li Wang, Christine Maierhofer, Michael R. Speicher, Christoph Lengauer, Bert Vogelstein, Kenneth W. Kinzler, and Victor E. Velculescu. Digital karyotyping. PNAS 99(25):16156-16161.
Additional information about digital karyotyping can be found at www.digitalkaryotyping.org

The CGAP Digital Karyotyping Data Viewer (DKView) can be used to visualize digital karyotpying libraries in the CGAP database or to view your own data.

View CGAP DK libraries
Library NameTissueHistologyTotal TagsMapped TagsDKView
DK_Brain_Glioblastoma_B_H1110BrainCancer194089125532DkView
DK_Brain_Glioblastoma_CL_H259braincancer198357129043DkView
DK_Brain_Glioblastoma_CL_H270braincancer222210148860DkView
DK_Brain_Glioblastoma_CL_H336braincancer180175119512DkView
DK_Brain_Glioblastoma_CL_H423braincancer169257108070DkView
DK_Brain_Glioblastoma_CL_H502braincancer14848499180DkView
DK_Brain_Glioblastoma_CL_H542braincancer172687111601DkView
DK_Brain_Glioblastoma_CL_H693braincancer209885132547DkView
DK_Brain_Glioblastoma_CL_H80braincancer160155102022DkView
DK_Brain_Medulloblastoma_CL_H283braincancer187755118226DkView
DK_Brain_Medulloblastoma_CL_H487braincancer180585111113DkView
DK_Brain_Medulloblastoma_CL_H556braincancer15968682867DkView
DK_Brain_Medulloblastoma_CL_H721braincancer234438144567DkView
DK_Brain_Medulloblastoma_CL_MHH1braincancer168561103753DkView
DK_Colon_carcinoma_CL_Co84coloncancer186065127512DkView
DK_Colon_carcinoma_CL_Co90coloncancer206632143371DkView
DK_Colon_carcinoma_CL_Co93coloncancer235282113882DkView
DK_Colon_metastasis_AP_M10-23livercancer182155122179DkView
DK_Colon_metastasis_AP_M11-01livercancer171621119186DkView
DK_Colon_metastasis_AP_M12-02livercancer210414142962DkView
DK_Colon_metastasis_AP_M12-05livercancer9064165079DkView
DK_Colon_metastasis_AP_MJC1livercancer210639142461DkView
DK_Colon_metastasis_AP_MJC3livercancer13502184008DkView


View Your Own DK Data
  • Begin by uploading your file of DK experimental tags with observed frequencies. The program will map these observed tags to the approximately 800,000 virtual DK tags across the genome
  • When the program has completed this task, you will be prompted to enter a window size for smoothing the data, as well as parameters to guide the search for regions of amplification or deletion.
  • When the program has finished smoothing the data and searching for regions of amplification or deletion, it will display a table of all such regions that were found. Hyperlinked entries in the last three columns of the table connect to graphic plots of the region of interest, to the UCSC genome browser, and to downloads of the observed DK tags in the region. There is also a hyperlink to a page with full-chromosome plots for all chromosomes.
  • In addition to a plot of the region of interest, a page with a detailed plot of a region will show a plot of the whole chromosome. Clicking on a portion of the whole-chromosome plot will give cause a detailed plot of the selected region to be displayed. At the bottom of a detail page, there are options to change the window size for smoothing and to change the region of interest. To get a detailed view of a region of any of the chromosomes, click on the region. The detailed
1. Enter the name of the file containing the list of tags and their frequences.
2. Submit query:

File Format

  • The file should NOT contain the same tag more than once.
  • Tags should be all uppercase.
  • The text file must list the tags and their frequences, separated by a tab, in a vertical column like this:
    ATGAAGATGGAATGGGT   3
    CTGCTTGCGTGAGATTC   1
    TAATTCTCATCGTCTGC   8
    GCTGATATTTAAAAGAG   5
    

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