NMC specifications


Unique identifier OMICS_19676
Name NMC
Alternative name Nonrandom Mutation Clustering
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Number and location of missense mutations in a protein.
Output data A table with columns of nonrandom mutation cluster size, starting location of the cluster, ending location of the cluster, number of mutations observed in the cluster and probability of the cluster that is significant after Bonferroni or FDR correction.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


  • person_outline Jingjing Ye
  • person_outline Chi-Hse Teng

Publication for Nonrandom Mutation Clustering

NMC citation


Computational characterisation of cancer molecular profiles derived using next generation sequencing

PMCID: 4322529
PMID: 25691827
DOI: 10.5114/wo.2014.47137

[…] ed on a training set of labelled positive (driver) and negative (passenger) examples []. Furthermore, clusters of non-synonymous mutations across patients, typically to detect ‘activating’ mutations, NMC [] and the Invex [] method can be applied. Moreover, the iPAC method is able to search for clusters of mutations, but in the context of crystal structures of proteins [].(3) Identification of recu […]

NMC institution(s)
Global Pre-Clinical Statistics, Pfizer Global Research and Development, San Diego, CA, USA; Computational Biology Group, Oncology Research Unit, Pfizer Global Research and Development, San Diego, CA, USA; Statistics, Corporate Analytics, Amylin Pharmaceuticals Inc, San Diego, CA, USA

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