While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data sources such as The Cancer Genome Atlas (TCGA), such investigation is hindered by difficulties in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.

You will discover how to:

• Use sample IDs to create a custom dataset from the deeply curated TCGA collection available within OmicSoft Lands

• Easily download count information for each sample across all genes and create a local or server project

• Calculate differential expression using metadata of interest

• Generate volcano, PCA/PCOA, heatmap, expression and other plots for scientific discoveries

• Upload the data to Ingenuity Pathway Analysis for hypothesis generation