Ocean Genomics specializes in leveraging advanced computational biology and artificial intelligence to enhance drug discovery and development through its Intelligent Transcriptome Platform. This platform integrates gene expression data, clinical information, and multi-omic datasets to predict the biological impacts of diseases and therapies. Key components of their technology include TxomeAI®, which conducts extensive analyses and feature extraction from RNA-seq samples, and DeepSea™, a comprehensive database that provides transcriptomes and pre-trained models to support in-depth analyses. Additionally, DiscoverAI™ automates the identification of relevant features from vast datasets, enabling the construction of transparent and generalizable predictors for various endpoints in drug development.

The company's innovative approach allows for the identification of new drug targets and biomarkers, as well as the stratification of patient populations for clinical trials. By employing AI-driven multi-omic analysis, Ocean Genomics aims to uncover insights that were previously unattainable through traditional methods. Their technology not only enhances the understanding of mechanisms of action and biological impacts but also improves the analytical validity of biomarkers, particularly in the context of immuno-oncology. This comprehensive and data-driven methodology positions Ocean Genomics at the forefront of precision medicine, facilitating more effective diagnostics and therapeutics across multiple therapeutic areas.

United States

Ocean Genomics works with biopharma, academic researchers and advocacy to empower discovery and development.  We provide our advanced computing platforms for gene expression analysis, and biomarker and target discovery, and our vast and fast-growing gene expression database.

We also provide integrated programs ranging from single experiment analyses to multi-milestone efforts that include computational biologists, and use of all of our platforms, AI models and data assets.



Ocean Genomics

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