UCSC Xena

Wondering if a gene (or probe, or clinical value, etc) affects survival? We have survival analyses complete with p-values, adjustable time frames, and multiple survival endpoints.

Use Xena to compare TCGA tumor samples to GTEx normal samples to see if your gene or transcript is up- or down-regulated in one or more cancer types.

Wondering if an increase in gene expression is correlated with a promoter hypomethylation, an increase in chromatin accessibility, or hotspot missense mutations? Xena lines up multiple types of data side-by-side to help you find out.

With Xena you can compare expression of a gene between wild type vs mutant samples, or between samples with normal copy number vs amplifications, or between any other subgroups.

Found something interesting and want to share? Xena bookmarks live views for further exploration by you or anyone you send the link to.

Xena compiles easy-to-use data files derived from public resources like TCGA or GDC. These tab-delimited files, such as Pan-cancer gene expression data matrix, can be easily imported into R or python.

Get your data (e.g. from a publication) out to a wider audience for both visualization and download. Set up a Xena Data Hub, load up your data, configure it to be public, and share the URL.