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respire

Python / React

A modular, open-source platform that centralizes publicly available lung disease data from scattered repositories into a single searchable interface. Researchers can filter across gene expression, microbiome, and other pulmonary datasets and download everything in a consistent, analysis-ready format.

Source Live demo

Studies indexed

2,690 across 2 modules

Samples sourced

64,761

Data volume

103.5 GB, analysis-ready

Capability

First unified search for pulmonary expression data

What I built

Core registry and module API specGene expression moduleMicrobiome moduleSearch interfaceData ingestion pipelines

How I led

Project scoping and roadmapClient relationship ownershipProject managementProject architecture

Stack

  • React
  • Redux
  • FastAPI
  • PostgreSQL
  • Docker

Key decisions

  • Plugin architecture with a defined module API — new data types (proteomics, metabolomics) plug into the core without rebuilding it, so the system grows without re-engineering
  • Containerized microservices — the system needs to be deployable by other research groups on their own infrastructure, so portability was a hard requirement
  • Open-sourced and domain-agnostic core — the framework works for any disease area, not just pulmonary, which multiplies the value of the engineering investment