20n
20n provides computational systems that predict DNA design for industrial biotech and health applications.
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20n provides computational systems that predict DNA design for industrial biotech and health applications. The platform treats biological data as a big data learning problem, utilizing machine learning, distributed systems, AI planning, and data mining. Target users include industrial biotech firms using the technology to transition to sustainable biological processes. Real-world applications involve the development of advanced fuels, materials, therapeutics, and flavors. Specific pricing and accessibility details are not provided.
Key features
- DNA design prediction for industrial biotech
- Big data learning on biological data
- Application of machine learning and AI planning
Pros & cons
Collected from user feedback found in web search
Cons
- Widespread Twitter 2FA issue “We cannot send a text message to this phone” error
Pricing
Contact for pricing
Verified on:
Use cases
- Development of advanced fuels and materials
- Creation of therapeutics
- Production of flavors and fragrances
Who it is for
Industrial biotech firms
Integrations
PythonBioPythonKEGG Database
Tags
API
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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