Representation of the data from Shimmer's point of view

Genetic differences between a tumor and its matched normal tissue are detectable from Next Generation sequence reads as a difference in the proportions of reads with mutant alleles at a genomic site. Shimmer accurately predicts somatic single nucleotide variants (sSNVs) in tumors from read counts using statistical hypothesis testing with multiple testing correction. The Shimmer algorithm produces sSNV predictions with similar sensitivity and significantly higher accuracy than other available packages, especially for highly contaminated or heterogeneous samples.

Last Modified: Wednesday, 17-Oct-2012 11:20:20 EDT