Today’s ability to generate data at a scale and pace that outweighs the capacity to manage, analyze, and interpret data requires scalable computational infrastructure and tools. As such, the JGI relies heavily on computational processing and data analysis at all levels of the organization, from project management and the production aspects of sequencing through to the assembly, annotation, and biological analysis of gene and genome function, variation, and evolution.
The Data Science and Informatics (DSI) department will ensure that all JGI’s data are high-quality and accessible (consistent with the FAIR data principles) and that data management systems are designed with user-driven focus.
DSI has strengthened the partnership between the JGI and KBase to share and integrate genomic and experimental data of increasing complexity, co-develop tools and workflows, and ensure cooperativity between our respective systems by engaging in a series of joint development and outreach activities.
Collectively, the JGI’s investments in infrastructure and data management, computational tool development, and forward-thinking approaches to large-scale data mining have paved the way to translate the complexities of the world around us into biological discoveries.