Using Free and Open-Source Bioconductor Packages to Analyze Array Comparative Genomic

[admin]

Related Articles Using Free and Open-Source Bioconductor Packages to Analyze Array Comparative Genomics Hybridization (aCGH) Data.

Curr Genomics. 2009 Mar;10(1):60-3

Authors: Lin S, Du P, Jafari N, Ouchi T

Whole-genome array Comparative Genomics Hybridization (aCGH) can be used to scan chromosomes for deletions and amplifications. Because of the increased accessibility of many commercial platforms, a lot of cancer researchers have used aCGH to study tumorigenesis or to predict clinical outcomes. Each data set is typically in several hundred thousands to one million rows of hybridization measurements. Thus, statistical analysis is a key to unlock the knowledge obtained from an aCGH study. We review several free and open-source packages in Bioconductor and provide example codes to run the analysis. The analysis of aCGH data provides insights of genomic abnormalities of cancers.

PMID: 19721812 [PubMed - in process]



PubMed comprises more than 19 million citations for biomedical articles from MEDLINE and life science journals. This RSS feed searches for mentions of Bioconductor - the open source and open development software project for the analysis and comprehension of genomic data.
More from PubMed...