Windows QTL Cartographer 2.5 - FTP Directory Listing

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Windows QTL Cartographer 2.5
Multiple-trait analysis
Most of the analysis methods in WinQTLCart work on traits one by one. The multiple trait analysis lets
you pick and choose the traits you want to work with jointly. This allows you to perhaps derive and
correlate structures from among many separate traits.
1. Open a source data file in WinQTLCart. If the data contains multiple traits, WinQTLCart enables
the Method menu's Multiple Traits Analysis command.
2. Select Method>Multiple Traits Analysis. The Multiple Traits Analysis dialog appears.
WinQTLCart disables portions of the dialog box that cannot support analysis of the selected data
file.
B1 crosstype has additive effects and enables only method selection
F2 crosstype has dominant effects and enables hypothesis test selection (open the
WinQTLCart sample file "cod.mcd" for an example)
3. Select the analysis method you want to use, IM or CIM.
4. Select the traits you want to use in the analysis. Click the Trait List button to see available traits
for selection. In the Trait selection text box, enter the traits you want to use, separated by
commas.
So, if you want to use traits 1, 4, and 5, you would enter "1, 4, 5" (without the quote marks).
5. Click OK. The form pane takes on the standard IM/CIM look and function, but the countdown pane
prefixes the method with "Multiple Traits."
6. For permutation procedure, check Independent check box to randomize each trait independently.
Otherwise to keep the co-relationship among traits when doing randomization.
Refer to the IM 58 and CIM 60
procedures in this manual for more information on using the form.
Drawing a chromosome tree
You may need to use chromosome graphics when it's time to write an article on your research.
WinQTLCart displays all the source data file's chromosomes, including each chromosome's markers
and intervals, in a single display window that you can copy to the Windows clipboard.
From the Main window, with a source data file loaded, select Tools>DrawChrom to show the
Chromosome Graphic Display window.
© 2010 N.C. State University, Bioinformatics Research Center