Résumé
Databases are crucial tools for the traceability and accessibility of scientific data, from field sampling to data sharing. We developed the "ViroBase" database to manage and facilitate access to all information on samples collected and analyzed in our lab, such as: sample geographical origin, host plant species, observed symptoms, data and type of samplings, host and pathogen taxonomy, samples processing. "ViroBase" has been developped in 2015-2016 under the open source object-relational database system PostgreSQL. A user-friendly interface implemented using the framework web2py facilitates access to records through simple queries. Today, Virobase allows to manage various information including: 10456 samples records, originating from 4727 plants and corresponding to different storage process, 16402 ELISA test results, 7962 DNA sequences of virus (Sanger, NGS) characteristics for 2745 PCR primers... Virobase and its dedicated interface facilitate the collaborative work, not only within the lab but also with external partners. Its conceptual framework will be soon extended to other biological models studied in our lab, such as bacteria and fungi. REFERENCES Callahan BJ, McMurdie PJ, Han AW, Johnson AJ, Holmes SP (2016). DADA2: High resolution sample inference from Illumina amplicon data. Nature Methods, 13(7), 581-3 Galan M, Pons J-B, Tournayre O, Pierre E, Leuchtmann M, Pontier D, Charbonnel N (2018). Metabarcoding for the parallel identification of several hundred predators and their prey: Application to bat species diet analysis.