FACADE : a fast and sensitive algorithm for the segmentation and calling of high resolution array CGH data
Author(s) -
Bradley P. Coe,
Raj Chari,
Calum MacAulay,
Wan L. Lam
Publication year - 2010
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkq548
Subject(s) - biology , segmentation , high resolution , facade , resolution (logic) , algorithm , computational biology , computer vision , artificial intelligence , remote sensing , computer science , archaeology , geology , history
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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