Difference between revisions of "Imoka"
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Revision as of 19:54, 26 May 2022
Description
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.
Citation: 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
Environment Modules
Run module spider imoka to find out what environment modules are available for this application.
System Variables
- HPC_IMOKA_DIR - installation directory