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.
module spider imoka to find out what environment modules are available for this application.
- HPC_IMOKA_DIR - installation directory
- HPC_IMOKA_BIN - executable directory
Commands exposed from the container:
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). https://doi.org/10.1186/s13059-020-02165-2