title: Analysis of array-CGH data using the R and Bioconductor software suite.
abstract: 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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Hannover Medical School, Institute of Cell and Molecular Pathology, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.
authors.forename: Winfried A
authors.initials: WA
authors.lastname: Hofmann
authors.forename: Anja
authors.initials: A
authors.lastname: Weigmann
authors.forename: Marcel
authors.initials: M
authors.lastname: Tauscher
authors.forename: Britta
authors.initials: B
authors.lastname: Skawran
authors.forename: Tim
authors.initials: T
authors.lastname: Focken
authors.forename: Reena
authors.initials: R
authors.lastname: Buurman
authors.forename: Luzie U
authors.initials: LU
authors.lastname: Wingen
authors.forename: Brigitte
authors.initials: B
authors.lastname: Schlegelberger
authors.forename: Doris
authors.initials: D
authors.lastname: Steinemann
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