Overture: an open-source genomics data platform

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Next-generation sequencing generates petabyte-scale genomics datasets, posing significant organizational and distribution challenges.
• The increasing use of AI and machine learning in genomics highlights the need for findable, accessible, interoperable, and reusable (FAIR) data.
• Existing genomics data archives and repositories offer valuable resources, but the diversity of research necessitates flexible, bespoke data management solutions.

Purpose of the Study:

• To present Overture, an open-source software solution designed to bridge the gap in technical support for genomics data management and reuse.
• To provide researchers with tools to build and deploy customizable genomics data platforms tailored to their specific needs.

Main Methods:

• Overture utilizes a modular microservices architecture.
• Each microservice has a generalized, narrow responsibility, enabling the creation of comprehensive data management systems.

Main Results:

• Overture enables researchers to organize, share, and explore genomics data at any scale.
• The platform facilitates connecting data to both human and machine analysis, promoting reproducibility.
• It supports controlled data sharing and reuse, fostering new scientific insights.

Conclusions:

• Overture's freely available open-source tools accelerate the development of reliable genomic data management.
• The software offers a flexible and scalable solution for the research community.
• Overture is licensed under AGPLv3.0, with source code and documentation publicly accessible.