P108

1:Institut Pasteur; 2:Université des Antilles

Databases and software tools that have been developed at the Institut Pasteur de la Guadeloupe, over the last two decades, contributed to a better understanding of Mycobacterium tuberculosis complex (MTBC) isolates circulating worldwide. Several databases have been introduced by the Institut Pasteur de la Guadeloupe over the last several years. The two most recently released databases are SITVIT2 (http://www.pasteur-guadeloupe.fr:8081/SITVIT2/) and SITVITBovis (http://www.pasteur-guadeloupe.fr:8081/SITVIT_Bovis/). The most recent version under construction (SITVITEXTEND), with genotyping and demographic information on >128,000 MTBC strains, contains tools for prediction and data analysis allowing phylogeographical mapping and statistical analyses based on: year and place of isolation, genotyping profile, drug-resistant patterns, gender and age of patients, etc.). In addition, dedicated tools for machine learning-based classification or phylogenetic analyses, such as SpolLineages (http://www.pasteur-guadeloupe.fr:8081/SpolLineages/) and simpiTB (https://github.com/dcouvin/simpiTB), today allow the prediction of the MTBC lineages using classical and machine-learning methods. Ongoing development of updated SITVIT databases will allow further analyses on circulating MTBC isolates. Furthermore, inclusion of data based on whole genome sequencing (WGS), will improve our understanding of genomic diversity, transmission characteristics and variation of various MTBC isolates. A novel database, tentatively called SITVITGeno, that will be dedicated to WGS data, is also under construction in our lab. Finally, scientists wishing to submit their data to the database will be able to contact us for the registration of their data.