Speeding Translational Research With Open Science and Full-Stack Bioinformatics Analysis

Join us for an informative webinar and learn how advances in open science coupled with modern approaches to bioinformatics analysis are helping accelerate scientific discovery. Thomas Yu, associate director of data processing and engineering at Sage Bionetworks, a leading non-profit research organization, will discuss their innovative use of open-source tools and pipelines. He will explain how Sage’s focus on well-annotated data and the use of modern tools have enabled them to build a collaborative, accessible environment and generate high-quality data faster and more cost-efficiently for their user communities.

Modern software engineering techniques and tools, such as Nextflow and the Seqera platform, have played an important role in Sage’s success. Evan Floden, co-founder and CEO of Seqera, will discuss key functionality enabling these innovations, including secure credential managed and enhanced APIs enabling end-to-end process automation.

Join these industry leaders as they explore the latest advances in genomics analysis techniques and learn about topics that include:

• Leveraging community Nf-core pipelines, modules, and tools to reduce development and maintenance efforts by up to 80 percent.
• Reducing pipeline runtime and cloud spending by using scalable cloud-based infrastructure more efficiently.
• Enhancing research productivity by enabling scientific users to be self-sufficient in launching pipelines and sharing and interpreting results.
• Accurately tracking spending against various grants and budgets to simplify accounting using Seqera and cloud-based cost accounting tools.
• Automating end-to-end actions such as creating and removing workspaces, managing users, and launching pipelines as samples appear in S3 buckets.
• Ensuring compliance and data governance by appropriately segmenting pipelines, datasets, and compute environments on HIPAA-compliant infrastructure.