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.

Conclusion

The implemented

SUBMITTER: Hofmann WA 

PROVIDER: S-EPMC2728899 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature