Accelerating TCGA Exploration with Manually Curated Clinical Metadata
The Cancer Genome Atlas (TCGA) is a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies, including large-scale genome sequencing. TCGA covers 33 types of cancer with multi-omics data, such as RNA-seq, DNA-seq, copy number, microRNA-seq, and protein mass spectrometry and array (reverse-phase protein arrays, or RPPA). Subsequent analyses of individual TCGA datasets, as well as pan-cancer meta-analysis, have revealed new cancer subtypes with important implications for the molecular mechanisms of cancer.
This white paper from Qiagen describes how curators processed TCGA datasets for Qiagen OmicSoft Lands databases, which allow access to uniformly processed datasets, in-depth metadata curation, and data exploration tools that enable quick insights from TCGA data as well data from other repositories and consortia.