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 which provides an easy and intuitive way to explore large amounts of genotyping data by filtering the latter based not only on variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability perspectives. Gigwa can handle multiple databases and may be deployed in either single or multi-user mode. Finally, it provides a wide range of popular export formats.
Try Gigwa online with public datasets at http://gigwa.southgreen.fr/
Bundled Gigwa archive for Windows (contains JRE, Apache Tomcat and MongoDB)
Bundled Gigwa archive for OSX (contains JRE, Apache Tomcat and MongoDB)
Gigwa installation archive (sole Java EE web-application)
Gigwa administration guide (how to install and administrate a Gigwa instance from the above)
Gigwa source code (for developers)
This project was funded by Agropolis Fondation under the reference ID ARCAD 0900-001.