Open Access Highly Accessed Research article

Alu distribution and mutation types of cancer genes

Wensheng Zhang1, Andrea Edwards1, Wei Fan2, Prescott Deininger3* and Kun Zhang1*

Author Affiliations

1 Department of Computer Science, Xavier University of Louisiana, 1 Drexel Drive, New Orleans LA 70125, USA

2 IBM T.J. Watson Research, 19 Skyline Drive, Hawthorne NY 10532, USA

3 Tulane Cancer Center, Tulane School of Public Health and Tropical Medicine, New Orleans, Louisiana 70122, USA

For all author emails, please log on.

BMC Genomics 2011, 12:157  doi:10.1186/1471-2164-12-157

Published: 23 March 2011

Additional files

Additional file 1:

The Q-Q plots for fitting a Gamma distribution to the gene-level intron Alu densities in 20 chromosomes.

Format: PDF Size: 290KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

The analysis of genes deviating from the diagonal lines of the Q-Q plots for chromosomes-1, -3, -6, -13, -21, and -X.

Format: PDF Size: 10KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

The frequency distributions of intron and exon Alu densities of the cancer genes with somatic and germline mutations.

Format: PDF Size: 30KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

The frequency distributions of intron and exon Alu densities of the cancer genes with translocation and non-translocation mutations.

Format: PDF Size: 32KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

The distributions of 351 cancer genes measured by the Alu-related genomic features and GC content.

Format: PDF Size: 35KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 6:

The Functional enrichment analysis of 5578 multi-exons genes without intron Alus.

Format: PDF Size: 56KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data