Launch the Marker Statistics Platform

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

Figure 3.3 The Marker Statistics Launch Window 

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

Marker

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

With Marker

Select the marker columns that you want and click With Marker to specify the markers to use in pairwise linkage disequilibrium comparisons with the markers specified in Marker.

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.

Marker Format

Use this option to specify the type of measurement to use to assess the relationship between samples (rows).

Marker Format enables you to use non-numeric marker columns as input. After the platform runs with non-numeric marker columns, it recodes these columns in place and returns an updated data table with non-numeric columns recoded to numeric. The new data table with numeric marker columns can be used in other Life Sciences platforms that require numeric marker columns as well as in any other JMP platform that requires numeric columns.

• Select Numeric when markers are encoded in 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. For polyploid samples, genotypes in the columns are expected to be 0,1,2, …, p (where p = ploidy number).

• Select Single-Character when diploid samples are coded as A, B, or H (A= AA, B= BB, and H=AB).

• Select Character when p-ploidy samples are coded as ApBp, where p= ploidy number (for example, AABB for a tetraploid sample).

• Select Single-Code Nucleotide when diploid samples are coded according to the IUPAC codes (A,C,G,T,R,Y,S,W,K,M,+,0,-,N).

• Select Nucleotide when diploid samples are coded with two letters (AA, CC, GG, TT, AC, AG, and so on).

Use Annotation Table

Enables you to access annotation information that is contained in a separate data table. After you click OK, you 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 multi-threading. 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 data table, 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. Use the Transpose option in the Tables menu to transform your data tables between tall and wide forms.