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Name: Rob Piombino
Type: User
Bio: Biomedical Informatics & Knowledge Systems Analyst - Chemical & Biochemical Engineer (B.S.E.)
Location: Chicago Il.
Name: Rob Piombino
Type: User
Bio: Biomedical Informatics & Knowledge Systems Analyst - Chemical & Biochemical Engineer (B.S.E.)
Location: Chicago Il.
https://graphacademy.neo4j.com/courses/app-python
An exploratory, tutorial and analytical view of the Unified Medical Language System (UMLS) & the software/technologies provided via being a free UMLS license holder. This repo will subset 2021AB UMLS native release, introduce/build upon UMLS provided tools to load a configured subset into first a relational database --> MySQL, SQLite, PostgreSQL and MariaDB all covered within this repo. Next the UMLS subset which is stored in a relational DB will be queried, modeled and lastly loaded into a defined Neo4j label property graph. Lastly, Neo4j database containing UMLS 2021AB subset in schema promoting intuitive analysis and rich visualization will become the central datastore for analysis. The datastore contains ~5 million distinct nodes & >40 million distinct relationships (edges). Currently, Neo4j is running via Docker but deployment options are NOT limited to Docker. If choosing to deploy via Neo4j Aura, server, Neo4j Desktop, VM etc... Please note and be aware of the specific volumes and environment variables specified within this repository (docker run). The ability for the loaded Neo4j Graph to interact with RDF data (i.e. import/export RDF data to and from Neo4j) may not be possible via all Neo4j deployment avenues (i.e. Neo4j Aura currently does not support RDF integration that is demonstrated in this repository).
FastAPI - A Python-based framework to create REST APIs to interact with Neo4j
Explore both NCI Thesaurus (NCIt) native release (OWL 2) & the OBO translation.
Exploration of python libraries to facilitate handling/working with OWL, RDF & OBO
Code accompanying the manuscript "Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network"
These python scripts connect to the Unified Medical Language System (UMLS) database and translate the ontologies into RDF/OWL files. This is part of the BioPortal project.
A repository of code samples in various languages that show how to use the UMLS Terminology Services REST API
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