Clonality: An R package for testing clonal relatedness of two tumors from the same patient based on their genomic profiles Journal Article


Authors: Ostrovnaya, I.; Seshan, V. E.; Olshen, A. B.; Begg, C. B.
Article Title: Clonality: An R package for testing clonal relatedness of two tumors from the same patient based on their genomic profiles
Abstract: 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. © The Author 2011. Published by Oxford University Press. All rights reserved.
Journal Title: Bioinformatics
Volume: 27
Issue: 12
ISSN: 1367-4803
Publisher: Oxford University Press  
Date Published: 2011-06-01
Start Page: 1698
End Page: 1699
Language: English
DOI: 10.1093/bioinformatics/btr267
PROVIDER: scopus
PUBMED: 21546399
PMCID: PMC3106202
DOI/URL:
Notes: --- - "Export Date: 23 June 2011" - "Article No.: btr267" - "CODEN: BOINF" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Venkatraman Ennapadam Seshan
    382 Seshan
  2. Colin B Begg
    306 Begg