Introduction¶
What is TCT?¶
Translator Component Toolkit is a python library that allowing users to explore and use KGs in the Translator ecosystems. Users can check out the key functions here: https://gloriachin.github.io/Translator_component_toolkit/
Key features for TCT¶
Allowing users to select APIs, predicates according to the user’s intention.
Parallel and fast quering of the selected APIs.
Providing reproducible results by setting contraints.
Allowing testing whether a user defined API follows a TRAPI standard or not.
Faciliting to explore knowledge graphs from both Translator ecosystem and user defined APIs.
Connecting large language models to convert user’s questions into TRAPI queries.
Contributing¶
TCT is a tool that helps to explore knowledge graphs developed in the Biomedical Data Translator Consortium. Consortium members and external contributors are encouraged to submit issues and pull requests.
Contact info¶
Guangrong Qin, guangrong.qin@isbscience.org
How to use TCT¶
Install Requirments¶
To install TCT as a python library, first clone this repository, and then run pip install -e .
from this folder.
Please follow the example notebooks (four utilities) below to explore the Translator APIs.¶
KG overview¶
Explore different KGs KG overview
Connection finder¶
Example notebook for ConnectionFinder
Path finder¶
Example notebook for PathFinder
Network finder¶
Example notebook for NetworkFinder
Translate users’ questions into TRAPI queries¶
Example notebook for translating users’ questions into TRAPI queries can be found here.
Connecting to a user’s API¶
API should be developed following the standard from TRAPI.
An example notebook for add a user’s API can be found here.
Warning: It does not work if no user’ API is established
Key Translator components¶
Connecting to key Translator components can be found here