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Twist Bioscience is a synthetic biology company based in San Francisco, California. The company has developed a proprietary silicon-based manufacturing process for the production of synthetic DNA. Twist Bioscience serves Life Science researchers who are changing the world for the better. Coming from diverse fields of medicine, agriculture, industrial chemicals and data storage, scientists use our synthetic genes, oligo pools, and NGS target enrichment to better lives and improve the sustainability of the planet. Twist Bioscience is uniquely positioned to help accelerate these efforts by providing precision at a scale that is otherwise unavailable. Our technology overcomes inefficiencies and enables cost-effective, rapid, precise, high-throughput DNA synthesis and sequencing. We offer both the quality and quantity researchers need now to rapidly realize opportunities ahead.
Statistical Center for HIV/AIDS Research & Prevention is a Seattle, WA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
BioWa is a Princeton, NJ-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Celtaxsys is a privately-held clinical stage drug discovery and development company with operations in San Francisco, CA and Atlanta, GA.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.