QIAGEN OmicSoft and Biomedical Knowledge Base
Discoveries from deeply curated TCGA expression data using OmicSoft Studio
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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
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