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imoka website  
iMOKA is a software that enables a comprehensive analysis of sequencing data from large cohorts to generate robust classification models or explore specific genetic elements associated with disease etiology. iMOKA uses a fast and accurate feature reduction step that combines a Naïve Bayes Classifier augmented by an adaptive Entropy filter and a graph-based filter to rapidly reduce the search space. By using a flexible file format and distributed indexing, iMOKA can easily integrate data from multiple experiments and also reduces disk space requirements.

Environment Modules

Run module spider imoka to find out what environment modules are available for this application.

System Variables

  • HPC_IMOKA_DIR - installation directory
  • HPC_IMOKA_BIN - executable directory

Additional Information

Commands exposed from the container:

  • iMOKA_core
  • gmap


If you publish research that uses imoka you have to cite it as follows:

Lorenzi, C., Barriere, S., Villemin, J. et al. iMOKA: k-mer based software to analyze large collections of sequencing data. Genome Biol 21, 261 (2020).