A Graph-Based Fact Management Architecture for Data Integration
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What are the traversable connections for a gene in the annotation space? This project aimed to convert assertions from annotation dumps to traversals of entailments with control over a breadth first search for edges and nodes in a multi-graph. Conceptually, it was designed to cross annotation boundaries among multiple sources and concentrate triggers on facts like gene ids or pathways at different levels of abstraction for discovery and trans-omics. The implementation worked somewhat and gave good cross annotation insight and novel insights for mouse and human sources but is now dated and poorly written given the libraries like pandas, collections, dask, json that other developers have contributed to the community. The cliques and connections are still very very useful - they are difficult to use. The project needs a refactor into the pythonic realm and I will be doing so. The R version was not scaling, the lisp version had issues with too few basic libraries. The overall project submission was horrible and incomplete. I am the creator of this project.