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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Chemical structures database & machine learning with web services API
AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials.
Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. Command line applications also available. Integration with third party tools and databases.
GMOD is a set of interoperable open source software components for visualizing, annotating, and managing biological data. See http://gmod.org for more.
Ergatis is a web-based utility used to create, run, and monitor reusable computational analysis pipelines, utilizing the Workflow engine. It contains pre-built components for common bioinformatics analysis tasks.
NetAtlas is a Cytoscape plugin that uses tissue gene expression data to filter cellular signaling network. The plugin identifies of tissue-defined networks, tissue-specific network components, and components with correlated expression across tissues.
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Open, extensible web-based collaborative platform for microarray gene expression, sequence and PPI data analysis, exposing distinct chainable components for clustering, pattern discovery, statistics (thru R), machine-learning algorithms and visualization
OmniGene is a set of reausable components that have been packaged into frameworks. These frameworks are used to produce domain specific services for common bioinformatics tasks including: visualization, database access, and pipeline building.
Before year 2045, we want to create a "software development lab" that will allow to write "from scratch" the DNA of a creature, the "content" of it's first cell, and the components of the solution in which it will grow, to simulate it's life.