INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.
[LEGACY] Monorepo containing everything related to the core Connext protocols and network.
Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
A Database-based knowledge back-end built on and for INDRA. The INDRA Database is a service that can be set up by any user with their own content and knowledge access. Our implementation of the database is the back-end to many of our projects, providing a vast and detailed knowledge base derived from many resources.
Ecosystem of Machine-maintained Models with Automated Analysis
A package for generating curation sheets for rationally enriching a BEL graph using INDRA and PyBEL
An integrative resource for deubiquitinating enzymes (DUBs) served at https://labsyspharm.github.io/dubportal
Implementation of Indra's Pearl using OpenFrameworks
Github Profile
Results from semi-automated curation with INDRA/PyBEL
An application of the rational enrichment workflow to ten subgraphs from NeuroMMSig for the Human Brain Pharmacome project (https://pharmacome.scai.fraunhofer.de)
Official Indra Python Client
Add a description, image, and links to the indra topic page so that developers can more easily learn about it.
To associate your repository with the indra topic, visit your repo's landing page and select "manage topics."