Measurement of relative expression (e.g. ratios), rather than absolute measures of gene expression were found to correlate well among the best performing laboratories.
Yet in organisms that undergo alternative splicing, correctly estimating the standard measures of gene expression can be a complex problem because of complications caused by alternative splicing.
Genomic data, particularly genome-scale measures of gene expression derived from DNA microarray studies, has the potential for adding enormous information to the analysis of biological phenotypes.
Measures of gene flow frequencies are lower than 1% between cultivated rice and below 3% between cultivated and wild rice (Chen et al. 2004).
Such access barriers are less common for a different type of genetic data: measures of gene activity derived by analyzing RNA levels in a tissue sample.
For this analysis, we have included only transcripts with log2 (spot intensity -values >6 (intensity -valuestensity), as rice Affymetrix array data with lower intensities are not consistent with other measures of gene expression [4].
For a complete list of measures of gene expression see table S3 in supplemental material.
The direct selection hypothesis predicts that only ER should be correlated with measures of gene importance.
Global measures of gene expression also served to highlight the differing genetic background of the paediatric lines.
However, the other measures of gene importance were correlated with ER but not with GR or BR.
Second, GR and BR did not show the same pattern of correlation as ER with our measures of gene importance.
