CRGGH generated a
database of pharmacogenomically - relevant
gene variants by mining the 1000 Genomes
database and conducting de novo genotyping using the Affymetrix ADME
gene chip in 19
global populations sampled from 5 continents (Africa, North and South America, Europe, and Asia) for a total of 1,478 individuals.
These include: a)
Global Clusters that consist of a small, tight subset of
genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of
gene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clust
gene expression profiles during successive days of standard ES cell differentiation; c) Specific
Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clust
Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of
genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of
genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate
genes with various FunGenES
database clusters.
The heatmaps and the complete list of
genes belonging to each cluster, ordered by cluster size, are available in Supplemental File S3 and in the FunGenES
database under the heading «
Global Clusters».