| Literature DB >> 21546399 |
Irina Ostrovnaya1, Venkatraman E Seshan, Adam B Olshen, Colin B Begg.
Abstract
SUMMARY: If a cancer patient develops multiple tumors, it is sometimes impossible to determine whether these tumors are independent or clonal based solely on pathological characteristics. Investigators have studied how to improve this diagnostic challenge by comparing the presence of loss of heterozygosity (LOH) at selected genetic locations of tumor samples, or by comparing genomewide copy number array profiles. We have previously developed statistical methodology to compare such genomic profiles for an evidence of clonality. We assembled the software for these tests in a new R package called 'Clonality'. For LOH profiles, the package contains significance tests. The analysis of copy number profiles includes a likelihood ratio statistic and reference distribution, as well as an option to produce various plots that summarize the results. AVAILABILITY: Bioconductor (http://bioconductor.org/packages/release/bioc/html/Clonality.html) and http://www.mskcc.org/mskcc/html/13287.cfm.Entities:
Mesh:
Year: 2011 PMID: 21546399 PMCID: PMC3106202 DOI: 10.1093/bioinformatics/btr267
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937