Skip to content

pahmadi8740/biothings_explorer

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

BioThings Explorer TRAPI API

Test with workspace codecov ci-cd

Introduction

This Repository serves as the development workspace for the TRAPI implementation of BioThings Explorer (BTE). BTE is an engine for autonomously querying a distributed knowledge graph. The distributed knowledge graph is made up of biomedical APIs that have been annotated with semantically-precise descriptions of their inputs and outputs in the SmartAPI registry. This project is primarily funded by the NCATS Translator project. There is also an older python version of BioThings Explorer that is now deprecated.

An older version of the meta knowledge graph that is consumed by BTE is in this figure (which, although older, gives a nice conceptual visualization of API interoperability):

BTE Meta-KG

What's TRAPI?

TRAPI stands for Translator Reasoner API. It is a standard defined for APIs developed within NCATS Biomedical Translator project to facilitate information exchange between resources. BTE exports results via TRAPI to maintain interoperability with other Translator tools. BTE can also consume knowledge resources that expose the TRAPI interface, but it also can consume APIs that have been annotated in the SmartAPI registry using the x-bte extension to the OpenAPI specification.

Trapi API Implementation

Below is a process diagram depicting BTE's internal workflow when processing a query.

sequenceDiagram
autonumber
participant I as index.js - query()
participant QG as query_graph.js
participant BEQ as batch_edge_query.js
participant Q2A as qedge2apiedge.js
participant R as query_results.js
participant C as call-apis module

note over I, R: query_graph_handler module

I->>QG: processQueryGraph()
QG->>QG: Process TRAPI Query Graph Object into <br/> internal qEdge and qXEdge representation
note right of QG: qEdge - Edge in TRAPI query graph <br/> qXEdge - Internal UpdatedExeEdge representation <br/> of a qEdge to be executed
QG->>I: return qXEdges

I->>I: Inferred Mode: create <br/> templated queries

loop Executing with Edge Manager
I->>I: while there are unexecuted qXEdges, <br/> get next qXEdge

I->>BEQ: BatchEdgeQueryHandler()
BEQ->>BEQ: NodesUpdateHandler(): get equivalent IDs
BEQ->>BEQ: cacheHandler(): fetch cached records

alt if there are uncached qXEdges
BEQ->>Q2A: QEdge2APIEdgeHandler()
Q2A->>Q2A: convert qXEdges into API calls by using <br/> metaKG to get metaEdges for qXEdge
Q2A->>BEQ: return metaXEdges
note right of BEQ: metaEdge - An edge in the metaKG <br/> metaXEdge - A metaEdge pair with a qXEdge
BEQ->>C: query()
C->>C: make API calls in batches <br/> and merge results
C->>BEQ: return records from APIs
end

BEQ->>BEQ: cacheHandler(): cache result records
note right of BEQ: record - A single unit of transformed <br/> data from a sub-query response

BEQ->>I: return records

I->>I: Store records/update edge manager
I->>I: Mark Edge as Executed
end

I->>R: trapiResultsAssembler
R->>R: assemble and convert records into <br/> final return results
R->>I: put results in bteGraph
note left of R: result - 1 item of the array in the <br/> TRAPI response (message.results)
I->>I: bteGraph: prune not fully connected <br/> results from graph
Loading

Try it Out!

Live TRAPI Instance

We maintain a live instance of this application at https://api.bte.ncats.io/ that can be used for testing. Query Examples can be found here.

Local installations

BTE can be used locally using Docker, or by installing the workspace for further tinkering. See the Installation documentation.

Usage

Using BTE can be as simple or complex as you'd like. See the Usage documentation to get started using BTE!

About

TRAPI service for BioThings Explorer

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Vue 54.5%
  • HTML 19.6%
  • JavaScript 12.4%
  • TypeScript 6.4%
  • Shell 3.0%
  • Dockerfile 1.6%
  • Other 2.5%