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

@article{citeulike:5663516, 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 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.}, author = {Hofmann, Winfried A. and Weigmann, Anja and Tauscher, Marcel and Skawran, Britta and Focken, Tim and Buurman, Reena and Wingen, Luzie U. and Schlegelberger, Brigitte and Steinemann, Doris}, citeulike-article-id = {5663516}, citeulike-linkout-0 = {http://dx.doi.org/10.1155/2009/201325}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19696946}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19696946}, doi = {10.1155/2009/201325}, issn = {1531-6912}, journal = {Comparative and functional genomics}, keywords = {arraycgh, r}, posted-at = {2009-08-28 14:57:49}, priority = {2}, title = {Analysis of Array-CGH Data Using the R and Bioconductor Software Suite.}, url = {http://dx.doi.org/10.1155/2009/201325}, year = {2009} }

TY - JOUR ID - citeulike:5663516 L3 - citeulike-article-id:5663516 N2 - 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. JF - Comparative and functional genomics SN - 1531-6912 TI - Analysis of Array-CGH Data Using the R and Bioconductor Software Suite. KW - arraycgh KW - r AU - Hofmann, Winfried AU - Weigmann, Anja AU - Tauscher, Marcel AU - Skawran, Britta AU - Focken, Tim AU - Buurman, Reena AU - Wingen, Luzie AU - Schlegelberger, Brigitte AU - Steinemann, Doris PY - 2009/// UR - http://dx.doi.org/10.1155/2009/201325 ER -