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The three functional genomic approaches included: Ingenuity® Functions, Diseases and Canonical Pathways Analysis: Functional analysis was done with Ingenuity® Pathways Analysis (Ingenuity® Systems, www.ingenuity.com, Application version 8.6, Content version 3003).
Gene annotation and functional analysis was done with IPA 5.0 software (www.ingenuity.com).com
Functional analysis was done using a curated and constantly updated literature database (Ingenuity Pathways Analysis) to populate known pathways with significantly differentially expressed genes.
Network visualization and functional analysis was done using Cytoscape [ 42].
On these three lists, functional analysis was done using GO enrichment analysis for biological processes with topGO.
For verification, the same functional analysis was done on Human and Mouse orthologs (provided by Affymetrix 29/07/04), using the EXPANDER software suite [ 72].
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Most of the main theorems in nonlinear functional analysis were done in the framework of linear Banach spaces.
Functional analysis is done similarly to the FA-based integrated method.
Functional classification analysis was done using the Ingenuity Pathway Analysis software (version 8.5).
Functional group analysis was done using GOstat, DAVID Database and GO term finder (SGD database) online applications selecting for Bonferroni corrected p-values < 0.05.
The functional category analysis was done over biological process GO term distribution at a cutoff level of 3. The datasets for the comparison with other species were made in the following way: The sequences were downloaded from the dbEST database in GenBank.
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