Disease pathogenesis is often context-dependent, specifically on tissue expression profiles within a given disease context. However, tissue expression profile of drug targets or potential targets is often difficult to ascertain.
In this webinar, we will dive deep into the wealth of available deeply curated high quality ‘omics data (RNA-seq, scRNA-seq and more) in the OmicSoft Lands database using APIs to achieve the following:
• Demonstrate how to obtain a disease gene signature of interest.
• Compare the constitutive expression profile of that gene set across different tissues.
• Find tissues with similar expression profiles.
• Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.
