Fast-Track Insights & Cut Costs with Curated Omics Data
Drug discovery researchers typically use freely available open-source datasets from public depositories to gain insights for their preclinical programs. In theory, access to all that data should be a valuable asset to bench researchers and data scientists. But in practice, it’s costly, time consuming, and completely inefficient for the people who spend countless hours sifting through it to make it usable.
Today, manually curated and integrated omics data is emerging as a better way to help researchers easily find the meaningful among the menial to fast-track insights and cut costs.
In this essential playbook, we will explore how and why this new approach is beneficial in today’s fast-paced drug discovery environment. It will help you understand:
The challenges that come along with “free” data
How data curation happens
How manually curated and integrated omics data can help you accelerate your insights while cutting costs