Résumé
Background: Exploring the structure of genomes and analyzing their evolution is essential to understanding theecological adaptation of organisms. However, with the large amounts of data being produced by next-generationsequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This isparticularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendlydata exploration solutions.Description: Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore largeamounts of genotyping data by filtering it not only on the basis of variant features, including functionalannotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalabilityproperties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. Inaddition, it provides a wide range of popular export formats.Conclusions: The Gigwa application is suitable for managing large amounts of genomic variation data. Itsuser-friendly web interface makes such processing widely accessible. It can either be simply deployed on aworkstation or be used to provide a shared data portal for a given community of researchers.