Assesses the significance of mutational clustering in a given 3D structure. CLUMPS is a statistical method that does not attempt to specify individual clusters but rather detects an overall enrichment of mutated residues that are spatially close to each other. The method uses a weighted average proximity (WAP) scoring function summarizing the pairwise Euclidean distances of all mutated residues in the structure, weighted by the normalized number of samples in which they are mutated.
Department of Pathology and Cancer Center, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
CLUMPS funding source(s)
Supported by the European Molecular Biology Organization long-term fellowship, National Institutes
of Health Grant U24 CA143845.