To provide you the world’s most efficient, accurate, and comprehensive gene expression analyses by supporting and extending our current state-of-the-art gene expression software.
Why It Matters
The same genome is shared by nearly every cell in your body. Depending on the tissue, cell type, environment, and disease state of the cell, different sets of genes are used in different abundances. Gene expression quantification measures the level of activity of each gene in a particular sample. The genome provides the blueprint, but gene expression captures how that blueprint is actually used at any point in time.
Among thousands of applications, these expression patterns have been used to identify cancer subtypes and matching treatments, to separate breast cancer patients with good versus poor post‐treatment prognosis, to predict post-surgery recurrence for prostate cancer patients, and to predict the effects of potential drug compounds.
Gene expression is measured using a technique called RNA-seq that sequences the expressed genes in proportion to their level of activity. However, RNA-seq provides only raw sequence fragments. Ocean’s software analysis pipeline converts this raw data into usable and interpretable features, supporting drug discovery and personalized treatment recommendations.
The Open Ocean Philosophy and Commitment
The core methods and software around which the Ocean Genomics ecosystem is built are open source; it is our commitment that they remain open source and freely available.
Rob and Carl
We’re experts in expression analysis algorithms.
Scientific Advisory Board
Stanley M. Marks, MD
Chairman, UPMC Hillman Cancer Center
Director of Clinical Services and Chief Medical Officer, UPMC Hillman Cancer Center
Chief Division of Hematology Oncology, UPMC Shadyside
Clinical Professor of Medicine, University of Pittsburgh School of Medicine
Edith Perez, MD
Professor of Medicine
David R. Gandara, MD
Professor of Medicine Emeritus
Director, Thoracic Oncology
Senior Advisor to the Director
UC Davis Comprehensive Cancer Center
Adrian Lee, PhD
Professor and Director, Institute for Precision Medicine
University of Pittsburgh
Justin Odegaard, MD, PhD
VP, Clinical Development
Redwood City, CA
Adjunct Clinical Assistant Professor of Medicine
Palo Alto, CA
Research into gene expression analytics is rapidly expanding—and our team is leading the way.