Untangling Biology with Data Analysis Pipelines

Increasingly, multiple omics disciplines are being combined to study biological processes in a more comprehensive manner. Today, multi-omics techniques are used in everything from personalized medicine and dosing control to discovering new molecular pathways as well as population-level studies. With a better understanding of the biology, researchers can design more effective predictive models, develop new clinical treatments, and validate new therapies and drugs. This can be achieved with workflow languages such as Nextflow, which help researchers construct and manage data pipelines that parse, process, and analyze vast datasets across the omics disciplines. When combined with the efforts of projects such as nf-core, which create and curate pipelines across disciplines, streamlining the execution of workflows in production environments becomes a reality, accelerating discovery and exploring multi-omics data in innovative ways.

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