Pitagora-Galaxy project proposes an efficient method to share data analysis workflows for biomedical researchers and improve reproducibility of data analyses using Galaxy, virtualization technologies and a community website.

To make effective use of wide-spreading NGS data, we aim to promote inter-laboratory knowledge sharing based on this platform.

Galaxy is an open source, web-based platform for data intensive biomedical researches. We can easily building the analysis pipeline with a combination of tools that have been published, and those workflows can be shared and ran again in any time. Therefore, Galaxy has been widely used as an analysis system of NGS data.

We think there are still some challenges to fully achieve the goals of Galaxy, reusability and reproducibility of workflows.

To solve the problems described above, we are running a website for sharing users’ know-how, and distributing a virtual environment where we configured Galaxy with selected workflows and tools. Now, you can immediately use our analysis workflows on the following three environments.

Since Pitagora-Galaxy enables us to run the same workflows on any infrastructure and rebuild the environments in any time, we can quickly use Galaxy, and at the same time, ensure the reproducibility of the analyses. In addition, we plan to add a connector for Garuda Desktop, a desktop application platform, for data analyses that cannot be covered only with Galaxy tools.

For inquiries or information, feel free to email: yamanaka[at]genome.rcast.u-tokyo.ac.jp