One-line description: 
Gigwa aims at managing and searching genotyping data from NGS analyses.

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 v1.5 online with public datasets at


v1.5 is a transitory version towards v2.0 which will be released soon. From v1.5 upwards, anonymous users may only work on public databases or their own temporary data. If you install the webapp on your own server you must log in as gigwadmin (password: nimda) to manage databases and user permissions.


Latest (v1.1) version release notes

Bundled Gigwa archive for Windows (contains JRE, Apache Tomcat and MongoDB)
v1.1 - v1.0beta

Bundled Gigwa archive for OSX (contains JRE, Apache Tomcat and MongoDB)
v1.1 - v1.0beta

Gigwa installation archive (sole Java EE web-application)
v1.5 (log in as gigwadmin / nimda after install) - v1.1 - v1.0beta

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.