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Open Access Highly Accessed Research article

Insights into the regulation of human CNV-miRNAs from the view of their target genes

Xudong Wu, Dinglin Zhang and Guohui Li*

Author Affiliations

Laboratory of Molecular Modeling and Design, State key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Rd., Dalian, 116023, PR China

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BMC Genomics 2012, 13:707  doi:10.1186/1471-2164-13-707

Published: 18 December 2012

Additional files

Additional file 1:

The 63,428 regulatory relationships among 541 miRNA families and 9,174 target genes.

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Open Data

Additional file 2:

The 172 human CNV-miRNA-families and their encoding members.

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Additional file 3:

List of targets genes with three regulatory patterns of miRNAs. The numbers in parenthesis represent the total number of regulatory miRNAs and the number of CNV-miRNAs, respectively.

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Open Data

Additional file 4:

Coefficient of variation (CV) of human protein-coding genes in four HapMap ethnic populations.

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Additional file 5:

Minor allele frequencies (MAFs) of 5UTR- and 3UTR-SNPs in four HapMap ethnic populations.

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Additional file 6:

List of 2,624 differentially expressed genes among six population pairs comparisons selected from four HapMap ethnic populations.

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Additional file 7:

The differential expression ratios (DERs) of 1,8763 human genes that were used for TargetScan5.1 prediction.

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Additional file 8:

The 21 and eight CNV-miRNA-families of Pan troglodytes and Mus musculus,respectively. As there are no miRNA targets from the TargetScan prediction for Pan troglodyte, the miRNA-family IDs were represented by Rfam identifiers (http://rfam.sanger.ac.uk/ webcite).

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Open Data