Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families

In this study, we present two complementary data-driven approaches allowing fast and precise family prediction from spoligotyping patterns. The first one is based on data transformation and the use of decision tree classifiers. In contrast, the second one searches for a set of simple rules using binary mask s through a specifically designed evolutionary algorithm. The comparison with the three main approaches in the field highlighted the good performances of our contributions and the significant runtime gain. Finally, we propose the ‘SpolLineages’ software tool (https://github.com/dcouvin/SpolLineages), which implements these approaches for MTBC spoligotype families ’ identification.
Source: Database : The Journal of Biological Databases and Curation - Category: Databases & Libraries Source Type: research