There is a wealth of RNA-seq expression data scattered across public sources like GEO, SRA, TCGA and GTEx, but scientists interested in biomarker discovery need to devote significant time and resources to finding, cleaning and standardizing relevant data.

Start saving time with OmicSoft Lands, an accessible source of manually-curated, unified data available through both graphical user interface (GUI) and APIs.

We’ll cover how to:

- Easily find RNA-seq expression data of interest (specific diseases, drug treatments, tissues etc.) using the GUI and APIs

- Compare expression across customized conditions of interest

- Investigate the impact of normalization methods within and across projects