OncoLand is an Oncology database and visualization software that helps users explore public and private cancer genomics datasets. It contains tens of thousands of carefully processed and curated oncology -Omic data samples. OmicSoft uses the Land framework to deliver an increasing number of large datasets, including data types such as RNA-Seq, DNA-Seq, miRNA-Seq, Copy Number Variation, Gene Expression Chip, Protein Expression, Methylation and hundreds of clinical measurements.
Omicsoft contains data from more than 10 large public dataset, including TCGA, CCLE, CGCI, ICGC, TARGET, Multiple Myeloma, GTEx, Blueprint and more. In this blog, we will introduce our data content based on our video tutorials: Getting Started With OncoLand
Most our OncoLand users are likely to be familiar with our Land interface. After selecting Land, you are likely to see the graphical interface similar to the following:
TCGA, The Cancer Genome Atlas, is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of genome analysis technologies. TCGALand is OncoLand's signature Land, it contains RNA-Seq, Expression Array, DNA-Seq, CNV, Methylation, and Protein data from more than 30 tumor types.
TCGALand provides table and figure views on the sample, gene and clinical data level. We will introduce genomic data views in the following article, or you can refer to our video tutorials: Getting Started With OncoLand. Here, we would like to highlight clinical data views, which is introduced in the TCGALand Introduction and Overview video clip.
Clinical Significance - Group Association is a dynamic view showing the association of all clinical variables with the selected grouping variable. It quickly provides insights on which clinical variables are potentially associated with the selected grouping variable.
Another useful view is Survival View. It plots survival rate over time for selected grouping variables
The Cancer Cell Line Encyclopedia (CCLE) project is an effort to conduct a detailed genetic characterization of a large panel of human cancer cell lines. CCLE provides public access analysis and visualization of DNA copy number, mRNA expression, mutation data and more, for 1000 cancer cell lines. CCLELand groups data according to Primary Site (Tissue), with histology as the secondary grouping.
Stay tuned for more on OncoLand!