Pathway analysis is a crucial step in understanding disease biology, as perturbed pathways can point us to the key gene(s) that regulate critical disease processes and therefore have the potential to be viable drug targets. Pathways are easily interpretable and provide a link between the observed data, such as gene expression levels, and the mechanism of action of a specific disease.
Data visualization applications are only as good as the underlying data quality and the ability to query it. Focusing on data management and search services will give your organization the lever to build applications much faster and much more cheaply, to the point that they become disposable.
Learn how your organization can project savings of over $300M per drug through unprecedented biobank-enabled insight into disease’s biology, candidate drug targets, and drug portfolio repositioning.
Rapid advances in biobanking and genomics have resulted in unprecedented data resources. However, extracting value from biobank data resources posed data management, navigational, and scalability challenges. Read more.
Life Science Data has become a cornerstone for successful R&D and clinical trials. In this webinar, Kevin Dialdestoro shares solutions for designing metadata models with rich terminologies, revamping metadata capability with semi-automated processes, implementing a successful cross-department data commons.