P0442
Gigwa - Genotype Investigator for Genome-Wide Analyses

Manuel Ruiz , CIRAD, UMR AGAP / CIAT, Montpellier Cedex 5, France
Guilhem Sempéré , CIRAD, UMR Intertryp, Montpellier, France
Adrien Petel , CIRAD, St Pierre, French Southern Territories
Alexis Dereeper , IRD, UMR RPB, F-34394 Montpellier, France
Gautier Sarah , INRA - UMR AGAP, Montpellier, France
Pierre Larmande , IRD, UMR DIADE, Institut de Biologie Computationnelle, Montpellier, France
Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers.