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Open Access Highly Accessed Research article

Systematic identification of conserved motif modules in the human genome

Xiaohui Cai1, Lin Hou23, Naifang Su2, Haiyan Hu4*, Minghua Deng2* and Xiaoman Li5*

Author Affiliations

1 Center for Research in Biological Systems, University of California, San Diego, La Jolla, CA, 92093, USA

2 School of Mathematical Sciences and Center for Theoretical Biology, Peking University, Beijing, 100871, China

3 State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 102206, China

4 School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, 32816, USA

5 Burnett School of Biomedical Science, University of Central Florida, Orlando, FL, 32816, USA

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BMC Genomics 2010, 11:567  doi:10.1186/1471-2164-11-567

Published: 14 October 2010

Additional files

Additional file 1:

The readme file of the ChIP-seq data analysis. This file describes the ChIP-seq data used and the analysis of ChIP-seq data performed.

Format: DOC Size: 59KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

Comparison of ChIP-seq data with predicted TFBSs of individual motifs. This file describes the results of the comparisons of the ChIP-seq data with the predicted TFBSs for individual motifs.

Format: XLS Size: 30KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 3:

Comparison of the predicted motif pairs with pairs of ChIP-seq experiments. This file describes the results of the comparison of the predicted motif pairs with pairs of ChIP-seq experiments.

Format: XLS Size: 22KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 4:

Motif order preference. This file describes the order preference among motifs in the predicted motif modules.

Format: TXT Size: 2.4MB Download file

Open Data