Do Alu repeats drive the evolution of the primate transcriptome?
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* Corresponding author: Laurence D Hurst l.d.hurst@bath.ac.uk
1 Department of Biology and Biochemistry, University of Bath, Bath, BA4 7AY, UK
2 Computer Research Center of the IPN, Mexico City, Mexico 07738
3 Department of Computer Engineering at University of California Santa Cruz, Santa Cruz, California 95064, USA
Genome Biology 2008, 9:R25 doi:10.1186/gb-2008-9-2-r25
Published: 1 February 2008Additional files
Additional data file 1:
Groups represent the 20% most highly, least highly, and medium expressed genes for peak and breadth. Points for 'high' and 'low' groups significantly different from medium expression levels (Student's t-tests using Bonferroni correction) are represented by closed circles. Each point represents the Alu content in sliding windows of 1 kb (moving 200 bp at a time).
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Additional data file 2:
From top to bottom, each panel shows the following: difference in breadth of expression; number of switches from expressed to non-expressed; ranked peak of expression difference; expression intensity divergence estimated by using correlation coefficients as measure of distance; and expression intensity divergence estimated by using Euclidean distances.
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Additional data file 3:
From left to right and top to bottom: differences in total breadth; number of switches from expressed to non-expressed; differences in peak of expression; quantitative expression divergence, assessed as Euclidean distances between orthologous pairs; and quantitative expression divergence, assessed as correlation coefficients between orthologous pairs.
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Additional data file 4:
From left to right and top to bottom: differences in total breadth; number of switches from expressed to non-expressed; differences in peak of expression; quantitative expression divergence assessed as correlation coefficients between orthologous pairs; and quantitative expression divergence, assessed as Euclidean distances between orthologous pairs.
Format: PDF Size: 39KB Download file
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