Literature DB >> 16159913

A comparison study: applying segmentation to array CGH data for downstream analyses.

Hanni Willenbrock1, Jane Fridlyand.   

Abstract

MOTIVATION: Array comparative genomic hybridization (CGH) allows detection and mapping of copy number of DNA segments. A challenge is to make inferences about the copy number structure of the genome. Several statistical methods have been proposed to determine genomic segments with different copy number levels. However, to date, no comprehensive comparison of various characteristics of these methods exists. Moreover, the segmentation results have not been utilized in downstream analyses.
RESULTS: We describe a comparison of three popular and publicly available methods for the analysis of array CGH data and we demonstrate how segmentation results may be utilized in the downstream analyses such as testing and classification, yielding higher power and prediction accuracy. Since the methods operate on individual chromosomes, we also propose a novel procedure for merging segments across the genome, which results in an interpretable set of copy number levels, and thus facilitate identification of copy number alterations in each genome. AVAILABILITY: http://www.bioconductor.org

Mesh:

Substances:

Year:  2005        PMID: 16159913     DOI: 10.1093/bioinformatics/bti677

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  124 in total

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Journal:  Cancer Cell       Date:  2019-05-23       Impact factor: 31.743

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5.  CGHweb: a tool for comparing DNA copy number segmentations from multiple algorithms.

Authors:  Weil Lai; Vidhu Choudhary; Peter J Park
Journal:  Bioinformatics       Date:  2008-02-22       Impact factor: 6.937

6.  Sparse representation and Bayesian detection of genome copy number alterations from microarray data.

Authors:  Roger Pique-Regi; Jordi Monso-Varona; Antonio Ortega; Robert C Seeger; Timothy J Triche; Shahab Asgharzadeh
Journal:  Bioinformatics       Date:  2008-01-18       Impact factor: 6.937

7.  Joint estimation of copy number variation and reference intensities on multiple DNA arrays using GADA.

Authors:  Roger Pique-Regi; Antonio Ortega; Shahab Asgharzadeh
Journal:  Bioinformatics       Date:  2009-03-10       Impact factor: 6.937

8.  Dosage-dependent severity of the phenotype in patients with mental retardation due to a recurrent copy-number gain at Xq28 mediated by an unusual recombination.

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Journal:  Am J Hum Genet       Date:  2009-12       Impact factor: 11.025

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Journal:  Biometrics       Date:  2016-03-08       Impact factor: 2.571

10.  An improved method for detecting and delineating genomic regions with altered gene expression in cancer.

Authors:  Björn Nilsson; Mikael Johansson; Anders Heyden; Sven Nelander; Thoas Fioretos
Journal:  Genome Biol       Date:  2008-01-21       Impact factor: 13.583

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