The Breast Cancer Proteome Landscape study generated a large dataset encompassing multiple levels of data for breast tumors. This data portal provide an easy and user friendly interface to query the rich datasets underlying this study and access to the raw data.
The different tools allow users to compare within and between different layers of omics data. For example you could ask if: "Does my gene of interest display mRNA protein correlation and are the the mRNA and/or the protein levels associated with any PAM50 subtype?". This type of question could be addressed with the scatter and boxplot tools.
In this release, we present basic tools for querying the data in different ways: XY plots to directly compare between quantification values and visualize predefined subgroups, boxplot for comparison of quantitative values between tumor groups, an enrichment tool for identifying significant differences between tumor groups and enrichments of e.g. GO terms in them, and a heatmap tool for clustering and visualization of protein quantifications.