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Advances in Bioinformatics
Volume 2012, Article ID 876976, 12 pages
http://dx.doi.org/10.1155/2012/876976
Research Article

A High-Throughput Computational Framework for Identifying Significant Copy Number Aberrations from Array Comparative Genomic Hybridisation Data

1Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, UK
2Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QW, UK
3The Cavendish Laboratory, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, UK

Received 14 March 2012; Revised 22 June 2012; Accepted 26 June 2012

Academic Editor: Yves Van de Peer

Copyright © 2012 Ian Roberts 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.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • David E. Cook, Adam M. Bayless, Kai Wang, Xiaoli Guo, Qijian Song, Jiming Jiang, and Andrew F. Bent, “Distinct Copy Number, Coding Sequence, and Locus Methylation Patterns Underlie Rhg1-Mediated Soybean Resistance to Soybean Cyst Nematode,” Plant Physiology, vol. 165, no. 2, pp. 630–647, 2014. View at Publisher · View at Google Scholar