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Data were assessed for quality and then imported into GeneSpring GX7.3.1 and pre-processed by using robust multiarray averaging (RMA) followed by normalization of each probe to the median of all samples.

Microarray fluorescence signals were normalized using Robust Multiarray Average [34].

Log-transformed gene expression values were calculated using robust multiarray analysis (Irizarry et al, 2003).

Data analysis, background subtraction and intensity normalization was performed using robust multiarray analysis [ 45].

Cel files obtained from MAS software were normalised using robust multiarray analysis (RMA).

The probe set level intensities were quantified and normalized using robust multiarray averaging and quantile normalization.

Arrays were normalized using robust multiarray normalization (RMA), implemented in the simpleaffy package [ 28].

The raw data were preprocessed using robust multiarray analysis (RMA) (Smyth 2005).

In each species, microarray data were normalized across all arrays using Robust Multiarray Averaging (RMA) method in Bioconductor.

Raw CEL files for these cell lines were normalized using Robust Multiarray Average (RMA) approach in Affymetrix Power Tools (APT).

As the exon array design had no mismatch probes, summarization was performed using Robust Multiarray Average (RMA) method [ 63].