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Build enterprise-ready GenAI experiences with MongoDB Atlas
Combine the power of Google Cloud's robust infrastructure with the flexibility and scalability of MongoDB Atlas.
MongoDB Atlas is a unified developer platform that enables you to confidently accelerate the deployment of GenAI-powered applications. Additionally, when purchased on Google Cloud Marketplace, you pay for only the resources you use with no upfront commitment.
The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.
PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.
Save hundreds of developer hours with components built for SaaS applications.
The #1 Embedded Analytics Solution for SaaS Teams.
Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
IoC container for the configuration and design for experimental design
InPUT offers a descriptive and programming language independent format and IoC (Inversion of Control) container for the configuration and design of computer experiments.
Code and more info can be found on github:
http://github.com/feldob/InPUT
Web application providing analysis of biomedical relationships.
Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis.
Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).