Analysis of Array-CGH Data Using the R and Bioconductor Software Suite

被引：7

作者：

Hofmann, Winfried A. ^{[1
]}

Weigmann, Anja ^{[1
]}

Tauscher, Marcel ^{[1
]}

Skawran, Britta ^{[1
]}

Focken, Tim ^{[1
]}

Buurman, Reena ^{[1
]}

Wingen, Luzie U. ^{[1
]}

Schlegelberger, Brigitte ^{[1
]}

Steinemann, Doris ^{[1
]}

机构：

[1] Hannover Med Sch, Inst Cell & Mol Pathol, D-30625 Hannover, Germany

来源：

COMPARATIVE AND FUNCTIONAL GENOMICS | 2009年

关键词：

COMPARATIVE GENOMIC HYBRIDIZATION; CIRCULAR BINARY SEGMENTATION; ABERRATIONS;

D O I：

10.1155/2009/201325

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Background. Array-based comparative genomic hybridization (array-CGH) is an emerging high-resolution and high-throughput molecular genetic technique that allows genome-wide screening for chromosome alterations. DNA copy number alterations (CNAs) are a hallmark of somatic mutations in tumor genomes and congenital abnormalities that lead to diseases such as mental retardation. However, accurate identification of amplified or deleted regions requires a sequence of different computational analysis steps of the microarray data. Results. We have developed a user-friendly and versatile tool for the normalization, visualization, breakpoint detection, and comparative analysis of array-CGH data which allows the accurate and sensitive detection of CNAs. Conclusion. The implemented option for the determination of minimal altered regions (MARs) from a series of tumor samples is a step forward in the identification of new tumor suppressor genes or oncogenes. Copyright (C) 2009 Winfried A. Hofmann et al.

引用

页数：8

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