Explore cancer biomarker and related data


Try: EGFR P00533
(you need to use HGNC or UniProtKB primary gene name/symbol or UniProtKB/Swiss-Prot accession)

More

View OncoMX data across all data sources. This includes data from EDRN, Bgee, BioXpress, Reactome, and BioMuta.

Statistics at a Glance

View BioXpress Statistics

View BioMuta Statistics

View EDRN Biomarker Statistics

View Bgee Statistics

View Reactome Statistics

View distribution of proteins across resources

View distribution of unique cancer terms across resources

`

Summary Statistics

View OncoMX data across all data sources. This includes data from EDRN, Bgee, BioXpress, Reactome, and BioMuta.

Normal Expression Filters
Mutation Filters
Literature Mining Filters
Biomarker Filters
FDA Biomarker Filters
Differential Expression Filters
Gene Symbol UniProtKB/SwissProt AC EDRN Biomarker # BioMuta Mutations # BioXpress Cancers # Reactome Pathways # Bgee Datasets
Advanced API coming soon...
*Click on data.oncomx.org to see additional datasets for FDA approved biomarkers, neoepitope data and other custom datasets.

About

OncoMX is an integrated cancer mutation and expression resource for exploring cancer biomarkers alongside related experimental data and functional information. OncoMX is a collaboration between the George Washington University (GW), NASA's Jet Propulsion Laboratory (JPL), the Swiss Institute of Bioinformatics (SIB), and the University of Delaware (UD). The core knowledgebase of OncoMX is derived from integrated cancer mutation (BioMuta) and expression (BioXpress) knowledgebases developed at GW. This collection of cancer data is mapped to biomarkers from EDRN and other sources, and augmented by normal expression data from Bgee and custom literature mining for mutation (DiMeX) and expression (DEXTER) software developed at UD. Combining this information is expected to improve functional interpretation of the reported variants, expression profiles, and other evidence of cancer involvement. Resulting data are wrapped into the OncoMX database, mapped to additional functional information and made available through the web portal. Here, a user can explore cancer data from various perspectives: for example, the biomarker vizualization enables a a user to see all attributes related to any biomarker annotations for a gene of interest. All datasets used by OncoMX, as well as additional custom datasets, are made available through the parallel data portal at www.data.oncomx.org.

Our Team

Raja Mazumder Multi-PI, GW
Dan Crichton Multi-PI, JPL
Frédéric Bastian SIB Lead
Vijay Shanker UD Lead
Hayley Dingerdissen GW
Evan Holmes GW
Robel Kahsay GW
Heather Kincaid JPL
Marc Robinson-Rechavi SIB
Stephanie Singleton GW
Nikhita Gogate GW
Edmund Cauley GW





Additional Photos Coming...

Amanda Bell GW
Samir Gupta UD
David Liu JPL
Ashique Mahmood UD
Su Peng UD
Dan Lyman GW

Contact Us