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PMID: 20172948 Published · ppublish English Journal Article Review

Preprocessing and downstream analysis of microarray DNA copy number profiles.

Briefings in bioinformatics ·Vol. 12 ·No. 1 ·2011-01-00 ·Pages 10-21

van de Wiel MA, Picard F, van Wieringen WN, Ylstra B

Abstract

Analysis of DNA copy number profiles requires methods tailored to the specific nature of these data. The number of available data analysis methods has grown enormously in the last 5 years. We discuss the typical characteristics of DNA copy number data, as measured by microarray technology and review the extensive literature on preprocessing methods such as segmentation and calling. Subsequently, the focus narrows to applications of DNA copy number in cancer, in particular, several downstream analyses of multi-sample data sets such as testing, clustering and classification. Finally, we look ahead: what should we prepare for and which methodology-related topics may deserve attention in the near future?

MeSH Terms
Comparative Genomic Hybridization Computational Biology/methods DNA Copy Number Variations Gene Expression Profiling/methods Oligonucleotide Array Sequence Analysis/methods
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
van de Wiel Mark A
Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, The Netherlands. [email protected]
Picard Franck
van Wieringen Wessel N
Ylstra Bauke
Article Info
Journal
Briefings in bioinformatics
Abbr.
Brief Bioinform
ISSN
1477-4054
Published
2011-01-00
Epub
2010-00-19
Pages
10-21
Language
English
Region
England
NLM ID
100912837
Subset
IM
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