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The picture which emerges is that transcription is a more variable process than initially suspected, with large differences between genes at each stage of the process, from initiation to mRNA degradation, but with striking similarities for functionally related genes, indicating that all steps are coordinately regulated.
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Gene conversion occurs between genes at different loci, whereas the domain movement can occur within a protein gene of the same locus.
This feature is potentially of great significance in genetic analysis, since non linearity is likely to arise due to long-range interactions between genes at different physical locations.
Concomitant DNA methylation was observed between genes at different chromosomes.
Finally, we found 1316 significant connections between genes at P < 0.01 and 418 at P < 0.001.
The average distance between genes at the Hga 3DS locus was 25.3 kb (median 17.7 kb).
In addition, approaches that detect dependencies between genes at different time delays are starting to emerge, see for example [ 67].
Correlation coefficients were used to measure similarity between genes at the expression level using data stored in public repositories.
This paper presents comparisons between several parameters (first between genes at X time points in Y tissues), then between the 'same' tissue at various time points.
A lack of overlap between genes at both time points was observed, with only AKIP being differentially expressed at both time points.
Many studies on the transcriptome and proteome levels have been conducted to understand the causal relationship between genes at dosage imbalance and DS phenotypes [ 12].
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