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Open AccessHighly AccessResearch article

Rapid and asymmetric divergence of duplicate genes in the human gene coexpression network

Wen-Yu Chung1,6 email, Reka Albert2 email, Istvan Albert5 email, Anton Nekrutenko3,5,6 email and Kateryna D Makova4,6 email

Department of Computer Science and Engineering, Penn State University, University Park, PA, 16802, USA

Department of Physics, Penn State University, University Park, PA, 16802, USA

Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, 16802, USA

Department of Biology, Penn State University, University Park, PA, 16802, USA

Department of Huck Institute for Life Sciences, Penn State University, University Park, PA, 16802, USA

Department of Center for Comparative Genomics and Bioinformatics, Penn State University, University Park, PA, 16802, USA

author email corresponding author email

BMC Bioinformatics 2006, 7:46doi:10.1186/1471-2105-7-46

Published: 27 January 2006

Additional 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 5:

Scripts for the study

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Additional File 6:

Network binary matrix.

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Additional File 7:

The set of independent duplicate gene pairs.

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