Journal
NUCLEIC ACIDS RESEARCH
Volume 38, Issue 15, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkq548
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Funding
- Canadian Institutes of Health Research
- Canadian Cancer Society
- Canary Foundation
- National Institute of Health/National Cancer Institute Early Detection Research Network
- Michael Smith Foundation for Health Research
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The availability of high resolution array comparative genomic hybridization (CGH) platforms has led to increasing complexities in data analysis. Specifically, defining contiguous regions of alterations or segmentation can be computationally intensive and popular algorithms can take hours to days for the processing of arrays comprised of hundreds of thousands to millions of elements. Additionally, tumors tend to demonstrate subtle copy number alterations due to heterogeneity, ploidy and hybridization effects. Thus, there is a need for fast, sensitive array CGH segmentation and alteration calling algorithms. Here, we describe Fast Algorithm for Calling After Detection of Edges (FACADE), a highly sensitive and easy to use algorithm designed to rapidly segment and call high resolution array data.
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