This article is part of the supplement: Proceedings of the International Conference of the Brazilian Association for Bioinformatics and Computational Biology (X-meeting 2011)

Open Access Research

Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer

Celia Fontanillo1, Sara Aibar1, Jose Manuel Sanchez-Santos2 and Javier De Las Rivas1*

Author Affiliations

1 Cancer Research Center (CIC-IBMCC), Consejo Superior de Investigaciones Científicas (CSIC), Campus Miguel de Unamuno, Salamanca, Spain

2 Department of Statistics, University of Salamanca (USAL), Salamanca, Spain

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BMC Genomics 2012, 13(Suppl 5):S5  doi:10.1186/1471-2164-13-S5-S5

Published: 19 October 2012

Additional files

Additional file 1:

Spreadsheet with the complete data corresponding to Table 1.

Format: XLS Size: 66KB Download file

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Additional file 2:

Spreadsheet with the complete data corresponding to Table 2.

Format: XLS Size: 76KB Download file

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Additional file 3:

Detailed view of all the 22 chromosomes showing the CN and GE correlation and the U-G or D-L categories frequency for the GBM dataset. The genomic regions are represented in X-axis. Blue and purple dots show the correlation coefficients between CN and GE for each gene loci (purple when r ≥ 0.60). Pink and green profiles represent the frequency values for the Up-Gain (U-G) category or the Down-Loss (D-L) category respectively.

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