Ocean Genomics
The Next Frontier of RNA-Based Innovation
We build models of drug response by combining clinical and gene expression data using advanced analysis and AI algorithms.
Key Applications
Solutions Spanning Drug Discovery & Development for Every Major Therapeutic Area
AI-driven multi-omic analysis brings new light to old questions and delivers unprecedented insights in previously unexplored territory.
Computationally-driven insights transcend what’s possible with manual analysis.
Discovery
Biomarker mining & Target identification
Pre-Clinical
Asset assessment and PK/PD studies
Clinical
Patient stratification and assessment of response
Trial Salvage
Identifying responders in failed trials with biomarker mining
Back-Translation
Incorporating new biomarker insights into future programs
CDx + Indication Expansion
Refine or expand clinical utility & enrollment criteria
Founded By
Leaders in Genomics, AI & Machine Learning, and Computational Biology
Carl Kingsford, Ph.D.
Rob Patro, Ph.D.
Eric Schultz
Our Team has Developed Many of the Most Advanced and Widely Used RNA-Seq Software Applications
Validated Extensively
Our computational methods are backed by 4000+ Citations
Used Globally
Software created by our founders has been downloaded > 350K times
By Leading Organizations
Users include Johns Hopkins, Harvard, Roche, Pfizer, and Novartis
Our Vast Experience in Bioinformatics Method Development is Enabling the Next Generation of Commercial Software to Take Your Project to the Next Level
Join The Team
Career
Opportunities
RecentNews
Introducing a New Collection of Open-source Salmon Features!
Over the last year Ocean Genomics has, with the help of a grant from the Chan Zuckerberg Initiative, developed several new features and applications for
Ocean Genomics Awarded Grant For New Internship Program From The Chan Zuckerberg Initiative
Ocean Genomics has been awarded a grant by the Chan Zuckerberg Initiative (CZI) for the implementation of an internship program designed to increase the accessibility, inclusion and diversity of underrepresented communities in genomic and transcriptomic open-source biotechnology projects.