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Genetics > Marker Statistics > Launch the Marker Statistics Platform
Publication date: 04/21/2023

Launch the Marker Statistics Platform

To calculate the marker statistics for your experimental data, launch the Marker Statistics platform by selecting Analyze > Genetics > Marker Statistics.

Figure 3.3 The Marker Statistics Launch Window 

The Marker Statistics Launch Window

For information about the options in the Select Columns red triangle menu, see Column Filter Menu in Using JMP.

Marker

Select desired marker columns and click Marker to specify the markers that you want to analyze.

With Marker

Select desired marker columns and click With Marker to specify the markers to use in pairwise linkage disequilibrium comparisons with the markers specified in X, Marker above.

Grouping

Analyzes the rows assigned to each level of the specified column separately. All results are presented in a single table and report.

By

Produces a separate report for each level of the By variable. If more than one By variable is assigned, a separate report is produced for each possible combination of the levels of the By variables.

Ploidy

Enables you to specify the ploidy level of the experimental organism under investigation.

Use Annotation Table

Enables you to access annotation information contained in a separate data table. After you click OK, a window appears, prompting you to specify the name and location of the annotation table.

PValues Table on Launch

Creates a data table for the p-values of the associated estimated marker statistics. This data table is linked to the Result Table in the Marker Statistics report.

Unthreaded

Suppresses multithreading. Deselect this option for improved computational speed.

Required Data Format for the Marker Statistics Platform

Most of the processes in JMP assume that the input table has a particular data structure. JMP distinguishes between tall and wide data sets. A tall data table has samples as columns and molecular entity (for example, marker, gene, clone, protein, or metabolite) as rows, whereas a wide data table is the transpose of the tall, having the samples as rows and molecular entity as columns.

When specifying the input data set for a process, it is important to know the required form. Marker Statistics requires a wide data table. The Transpose platform under the Tables menu enables you to transform your data tables between tall and wide forms.

Marker data must be encoded in the one-column, numeric format. Typically, in this format, diploid individuals homozygous for the least common, or minor allele, are represented in the table by a 2, whereas the heterozygotes are represented by a 1. Homozygotes for the most common allele are represented by a 0.

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