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See the Materials and Methods section for details on data binarization, species selection, and ordering of genes.
A ranked ordering of genes was generated based on each gene's connectivity to phenotypes.
A combination of robust multiarray analysis and ordering of genes using paired t-statistics, along with bootstrapping to control for a 5% familywise error rate, was used to identify differentially expressed genes in a global analysis.
A variety of analyses presented here have established that rank ordering of genes within a linkage interval using UGET is a successful approach in many cases.
Many involved a non-linear ordering of genes.
Note that the rank ordering of genes is specific to each tissue and dendrite.
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The Huge Repeat consensus ordering of gene loci is shown in Figure 8.
The ordered list of genes based on Figure 1b is described on Additional file 1.
First column lists the transcribed genes (based on the order of genes in Fig. 2C) followed by the locus tag of each gene.
More broadly, the technique could help researchers better understand the structure of genomes disease-related or not—and the order of genomes disease-related
Future research will certainly spring some surprises; for example, we now know that the copy number and order of genes on chromosomes can vary greatly between individuals in ways that may have functional implications (Nat. Genet. 36, 931 932; 2004).
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