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Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
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FACADE: a fast and sensitive algorithm for the segmentation and calling of high resolution array CGH data.

Bradley P Coe1, Raj Chari, Calum MacAulay

  • 1Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada. bcoe@bccrc.ca

Nucleic Acids Research
|June 17, 2010
PubMed
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High-resolution array comparative genomic hybridization (CGH) analysis is complex. We developed Fast Algorithm for Calling After Detection of Edges (FACADE), a sensitive and rapid algorithm for segmenting and calling copy number alterations in array CGH data.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • High-resolution array comparative genomic hybridization (CGH) platforms generate complex data.
  • Current segmentation and alteration calling algorithms are computationally intensive, requiring hours to days for analysis.
  • Tumor heterogeneity and ploidy complicate the detection of subtle copy number alterations.

Purpose of the Study:

  • To address the need for faster and more sensitive array CGH data analysis.
  • To introduce a novel algorithm for rapid segmentation and alteration calling.
  • To improve the efficiency and accuracy of genomic alteration detection.

Main Methods:

  • Development of the Fast Algorithm for Calling After Detection of Edges (FACADE).
  • FACADE is designed for rapid segmentation of high-resolution array CGH data.

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Published on: May 6, 2010

Related Experiment Videos

Last Updated: Jun 12, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

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Published on: May 6, 2010

  • The algorithm focuses on sensitive detection and calling of copy number alterations.
  • Main Results:

    • FACADE provides a highly sensitive method for array CGH data analysis.
    • The algorithm demonstrates rapid processing of high-resolution array data.
    • FACADE is user-friendly and effective for segmentation and alteration calling.

    Conclusions:

    • FACADE offers a significant advancement in analyzing complex, high-resolution array CGH data.
    • The algorithm's speed and sensitivity overcome limitations of existing methods.
    • FACADE facilitates more efficient and accurate detection of genomic alterations in tumors.