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BioMed Research International
Volume 2015 (2015), Article ID 902419, 10 pages
http://dx.doi.org/10.1155/2015/902419
Research Article

Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma

1Bioinformatics Unit, Clinical Research Coordination, National Cancer Institute of Brazil (INCA), 20231-050 Rio de Janeiro, RJ, Brazil
2Graduate Program in Systems and Computational Biology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), 21040-360 Rio de Janeiro, RJ, Brazil
3Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Oswaldo Cruz Foundation (Fiocruz), 21040-360 Rio de Janeiro, RJ, Brazil
4Department of Medical Genetics, School of Medical Sciences, State University of Campinas, 13083-887 Campinas, SP, Brazil
5Clinical Research Coordination, National Cancer Institute of Brazil (INCA), 20231-050 Rio de Janeiro, RJ, Brazil

Received 16 January 2015; Accepted 26 May 2015

Academic Editor: Hesham H. Ali

Copyright © 2015 Gabriel Wajnberg et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Gabriel Wajnberg, Benilton S. Carvalho, Carlos G. Ferreira, and Fabio Passetti, “Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma,” BioMed Research International, vol. 2015, Article ID 902419, 10 pages, 2015. doi:10.1155/2015/902419