There's more than one way to probe our OncoLand data. With the OmicSoft Studio graphical user interface (GUI), you won't need a script to fetch the data you want.

This training will show how high-quality curated genomic repositories, such as the QIAGEN OmicSoft Lands, immediately allow in-depth investigations across diverse oncology and normal tissues/cells data sources (GEO, CPTAC, TCGA, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation.

You will learn to generate data for questions such as:

• How is a gene (or a set of genes) expressed across different conditions (e.g., diseases, treatments, cell types)?
• How is the expression of a gene correlated with the expression of other genes?
• For a list of genes, can we generate a heatmap studying their expression across different conditions?
• How do you get a list of biomarkers specific to a condition from public studies?