flooose / oncoscape

a web application to apply/develop analysis tools for Molecular and Clinical data

--

Oncoscape is a web application that hosts an integrated suite of analysis tools for users to explore hypotheses related to molecular and clinical data in order to better understand cancer biology and treatment options. Oncoscape is as an SPA -- a single page web application -- using JavaScript in the browser and R (primarily) on the backend server for statistical calculations. For more detailed information, please read wiki.

Oncoscape is developed at the Fred Hutchinson Cancer Research Center under the auspices of the Solid Tumor Translational Research initiative. Read more about our team and mission on the Oncoscape homepage.

With the assistance of the general coding community, we hope to deliver polished tools that are easier for clinicians to use and that can grow and adapt indefinitely with emerging technologies. See how your expertise can make an impact.

The Goal

The ultimate goal is to connect the entire pipeline of cancer research, from molecular data and research experiments to clinical and patient data. By giving clinicians and researchers direct access to the data and methods through an online portal, more time is spent answering biological questions than formatting files and installing disparate software packages.

Oncoscape's design encourages custom deployments focused on any clinical/molecular data set. Oncoscape, here at GitHub, ships with patient and molecular data from the TCGA.

If you would like to update code or contribute new features, please read wiki.

Signature Features

• Web accessible & Intuitive Interface so Physicians and Researchers can interact with data without requiring computational support

• Integrated, Iterative Analyses to test conditional hypotheses by refining selections and sharing results

• Flexible, Approachable Software Design to encourage third party contribution and collaborative growth

• Github open source repository offers transparency and platform for sharing and integrating new features

Contact

To report any bugs, submit patches, or request new features, please log an issue in our issue tracker. For direct inquiries, please send an email to [email protected].

STTRcancer Fred Hutchinson Cancer Research Center 1100 Fairview Ave N Seattle, WA 98109

LICENSE

Copyright (c) 2014 Solid Tumor Translational Research http://www.sttrcancer.org

The MIT License (MIT)