{"repo":"gyorilab/indra_db","free":true,"listed":false,"github":"https://github.com/gyorilab/indra_db","clone":"git clone https://github.com/gyorilab/indra_db.git","description":"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.","language":"Python","stars":20,"topics":["database","postgresql","sqlalchemy","systems-biology","machine-reading","indra"],"license":"GPL-3.0","category":"databases-storage","readme_excerpt":"INDRA DB The INDRA (Integrated Network and Dynamical Reasoning Assembler) Database is a framework for creating, maintaining, and accessing a database of content, readings, and statements. This implementation is currently designed to work primarily with Amazon Web Services RDS running Postrgres 9+. Used as a backend to INDRA, the INDRA Database provides a systematic way of scaling the knowledge acquired from other databases, reading, and manual input, and puts that knowledge at your fingertips through a direct Python client and a REST api. REST API The INDRA DB is available via a web UI at: https://db.indra.bio At the same URL, a REST service is also available which allows for programmatic usage as documented here: https://github.com/gyorilab/indra db/blob/master/indra db service/README.md A convenient way to query the INDRA DB is via INDRA's built-in client towards INDRA DB which is documented here: https://indra.readthedocs.io/en/latest/modules/sources/indra db rest/index.html. Knowledge sources The INDRA Database currently integrates and distills knowledge from several different sources, both biology-focused natural language processing systems and other pre-existing databases Daily Readers We have read all available content, and every day we run the following readers: - REACH - Sparser we read all new content with the following readers: - Eidos - ISI - MTI - used specifically to tag content with topic terms. we read a limited subset of new content with the following readers","default_branch":null,"files":null,"tree":[],"storefront":"/r/gyorilab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gyorilab/indra_db/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}