Seattle Translational Tumor Research (STTR) connects scientists across disciplines and institutions to speed research and enable discoveries that lead to new methods for cancer prevention, early diagnosis and treatment that improve the lives of patients with cancer.
STTR was launched and is directed by Dr. Eric Holland, an internationally renowned neurosurgeon and cancer biologist who also leads Fred Hutch’s Human Biology Division. This collaboration exemplifies Fred Hutch’s commitment to developing novel approaches to prevent and treat cancer, and contributes to our reputation as a pioneer for developing lifesaving cancer therapies.
STTR brings together scientists and clinicians from several Seattle-area institutions, including Fred Hutch, UW Medicine, Seattle Cancer Care Alliance and Seattle Children’s Hospital, and others. STTR harnesses our collective expertise by offering advanced tools, resource development and unique administrative support to accelerate the pace of discovery.
One of our key innovations is Oncoscape, a data visualization platform that combines and provides visualization for large-scale datasets from cancer biology and clinical trials. Providing powerful, reproducible analysis, Oncoscape has the potential to revolutionize our approach to cancer research and care for decades to come.
— Dr. Eric Holland
Oncoscape, created at Fred Hutch following the vision of Dr. Eric Holland, is a data visualization and analysis platform for clinical and genetic data. Oncoscape aims to reduce barriers common in analysis of big data such as collaborative data sharing and reproducibility. Through the simplified user interface, researchers, even those who are not experts in computational biology, can investigate their data in new ways, allowing them to uncover new paths for cancer diagnosis and treatment.
Inside the tool, research can seamlessly move from one analysis tool to the next, reducing wasted time that otherwise comes from having to download and upload datasets when moving between tools. Users can build cancer-type-specific cohorts and compare them using state-of-the-art computational and analysis methods or one of the many other novel comparative visualizations. Uploaded data can remain private or shared between colleagues. Oncoscape accelerates research and supports researchers to dig deeper into their data, learning more than was ever before possible through a single tool.
Combining analytics, visualization and reproducibility, Oncoscape confidently stands as one of the leading software applications in the field of cancer omics research.