Identification and visualization of groups of closely spaced mutations in the DNA sequence of cancer genome. The extremely mutated zones are searched in the symmetric dissimilarity matrix using the anti-Robinson matrix properties. Different data sets are obtained to describe and plot the clustered mutations information.
|Author||David Lora [aut, cre]|
|Date of publication||2016-04-29 07:44:36|
|Maintainer||David Lora <firstname.lastname@example.org>|
dissmutmatrix: Symmetric dissimilarity mutation matrix.
features: Describe the features of mutation in the hyper-mutated zones.
imd: Calculate of the inter-mutational distance (IMD).
PD4107a: Somatic mutations data set from a primary breast cancer...
showers: Location of clustered mutations in the cancer genome.