OncoMX is an integrated cancer mutation and expression resource for exploring cancer biomarkers to facilitate early cancer detection. OncoMX is a collaboration between The George Washington University, NASA’s Jet Propulsion Laboratory, the Swiss Institute of Bioinformatics, and the University of Delaware. OncoMX integrates sequencing-based mutation data from BioMuta, differential expression data from BioXpress, normal expression data across organisms from Bgee, literature mining evidence from DEXTER/DiMeX, biomarker data from EDRN, and pathway data from Reactome.

Learning Objective: The learning objectives begin with understanding the challenges associated with cancer -omics data integration and how the OncoMX workflow was developed, with key user feedback, to address these challenges. These key points enable our resource, OncoMX, to improve cancer biomarker exploration.

Authors:

Amanda Bell (Presenter)
George Washington University

Raja Mazumder, George Washington University
Daniel Crichton, NASA
Vijay Shanker, University of Delaware
Frédéric Bastian, Swiss Institute of Bioinformatics
Hayley Dingerdissen, George Washington University
Samir Gupta, University of Delaware
Evan Holmes, George Washington University
Robel Kahsay, George Washington University
Heather Kincaid, NASA
Ashique Mahmood, University of Delaware
Marc Robinson- Rechavi, Swiss Institute of Bioinformatics
Stephanie Singleton, George Washington University

Presentation Materials:

• Abstract/Manuscript - 1