Research article
Rapid and asymmetric divergence of duplicate genes in the human gene coexpression network
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* Corresponding author: Kateryna D Makova kdm16@psu.edu
1 Department of Computer Science and Engineering, Penn State University, University Park, PA, 16802, USA
2 Department of Physics, Penn State University, University Park, PA, 16802, USA
3 Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, 16802, USA
4 Department of Biology, Penn State University, University Park, PA, 16802, USA
5 Department of Huck Institute for Life Sciences, Penn State University, University Park, PA, 16802, USA
6 Department of Center for Comparative Genomics and Bioinformatics, Penn State University, University Park, PA, 16802, USA
BMC Bioinformatics 2006, 7:46 doi:10.1186/1471-2105-7-46
Published: 27 January 2006Additional files
Additional File 1:
The numerical description of the networks
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Additional File 2:
Degree distributions of networks generated from a combination of thresholds: T (tissue) and R (Pearson correlation coefficient). The degree distribution for the network with T ≥ 7 and R ≥ 0.7 is shown in Figure 1
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Additional File 3:
The scatter plots between clustering coefficient c and node degree k for (A) all genes, (B) ubiquitously expressed genes, and (C) nonubiquitously expressed genes.
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Additional File 4:
The degree distribution of the studied network (T ≥ 7 and R ≥ 0.7) for (A) duplicate genes and (B) singletons.
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Additional File 7:
The set of independent duplicate gene pairs.
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