TAGCNA is a tool written in R for identification of significant consensus events in cancer genomes using copy number variation (CNV). The algorithm uses 'a peel-off' permutation scheme for modeling a null distribution.
TAGCNA is a tool written in R for identification of significant consensus events in cancer genomes using copy number variation (CNV). The algorithm uses 'a peel-off' permutation scheme for modeling a null distribution.
Credit:
the Natural Science Foundation of China under Grants 61070137, 91130006, and 60933009; the US National Institutes of Health under Grants CA160036, CA149147, and GM085665; and the Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2012JQ8027); the Science and Technology Research Development Program in Shaanxi province of China (No. 2009K01-56), and the Fundamental Research Funds for the Central Universities (No. K50511030002).
Yuan X, Zhang J, Yang L, Zhang S, Chen B, Geng Y, Wang Y "TAGCNA: a method to identify significant consensus events of copy number alterations in cancer." PLoS One. 2012;7(7):e41082. https://doi.org/10.1371/journal.pone.0041082
PMID: 22815924
PMCID: PMC3399811