Use BlueGraph on Connectome Analysis

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
neo4j, python
Domain
backend-api-design, data-visualization

Research direction

No file, test, or entry point is named. Start by clarifying whether the request is for graph visualization, Python integration, Neo4j support, or simulation analysis, then identify the relevant BlueGraph entry points. The issue does not define a testable completion condition for this broad proposal.

Written by the indexing model from the issue text.

Description

Hello BlueGraph Team,

I was working on BBP circuits via representing them as graph, analyzing the motifs but couldnt find a way to visualize these dense graphs. Then I came across this platform thanks to Cyrille Favreau. Is there a jira project assigned to this ?

So far i have used networkx and igraph (more scalable as i was told) to analyses. but mostly I store my graph in adjacency matrix format and do operations on scipy.sparse module. I started to use Neo4j but the syntax is a bit annoying. So making a python backend would be very nice and scalable when we integrate it to bluegraph

Here are my projects if i can have a nice UI for the graph:

  1. Utilize 5th floor screen, open deck to visualize the graph to do lots of cool stuff
  2. Connect it to python scripts we already have.
  3. Make novel and visualization-based simulation analyses. See VIZTM-860, and also this cool company's work and demo video https://cambridge-intelligence.com/products/ on static and dynamic analyses of graph data.

Since we have this software and brain is a graph, i say lets use it on it :)

All the best,
Kerem

Dominant language
Python
Stars
34
Forks
5
No merged PRs in 30d

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