Breast Cancer Proteome
Resource
EXPLORATORY WEB PORTAL OF PROTEOMICS, TRANSCRIPTOMICS, METABOLOMICS AND GENOMICS DATA OF BREAST CANCER.
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.
Available Datasets
Proteomics
Transcriptomics
Genomics
miRNA
Metabolomics
ImmunoHistoChemistry
Main project leaders
Web Portal & Analysis Apps
Project members
- Alejandro Fernandez Woodbridge
- Bengt Sennblad
- Elen Kristine Møller
- Ellen Schlichting
- Elsa Beraki
- Erik Fredlund
- Fabio Socciarelli
- Hege Russnes
- Ioannis Siavelis
- Kristine Kleivi Sahlberg
- Lukas Orre
- Mads Haugland Haugen
- Mattias Vesterlund
- Mikael Huss
- Miriam Ragle Aure
- Nathaniel Vacanti
- Ole Christian Lingjærde
- Øystein Garred
- Rui Mamede Branca
- Sanela Kjellqvist
- Silje Nord
- Tone Frost Bathen
- Tonje Husby Haukaas
- Torill Sauer
- Wei Zhao
- Yafeng Zhu
Founding
