CLUMPS2

3D-structural clustering of somatic mutations

An algorithm for identifying 3D clusters of somatic mutations on protein structures. By projecting mutations from large cancer cohorts onto solved and predicted protein structures, CLUMPS2 detects spatial hotspots of mutation enrichment that point to functionally relevant domains, complementing linear (1D) significance methods. It has been used to identify structurally clustered driver mutations in chronic lymphocytic leukemia in (Knisbacher et al., 2022) and in clonal hematopoiesis and myelodysplastic syndromes in (Beauchamp et al., 2021).

References

2022

  1. Molecular map of chronic lymphocytic leukemia and its impact on outcome
    Binyamin A. Knisbacher, Ziao Lin, Cynthia K. Hahn, and 4 more authors
    Nature Genetics, 2022

2021

  1. ZBTB33 is mutated in clonal hematopoiesis and myelodysplastic syndromes and impacts RNA splicing
    Ellen M. Beauchamp, Matthew Leventhal, Elsa Bernard, and 4 more authors
    Blood Cancer Discovery, 2021