Browser-Native Genomic Feature Search using SQLite WASM and JBrowse

This project implements a browser-native genomic feature search system for efficiently querying large GFF3 annotation datasets without requiring backend infrastructure. Traditional approaches either rely on slow client-side parsing or require server-side APIs, both of which introduce scalability and maintenance challenges. The proposed solution converts GFF3 files into an indexed SQLite database offline and performs full-text search queries directly in the browser using SQLite WASM within a Web Worker. The system integrates with JBrowse to enable seamless navigation from search results to genomic locations, providing a responsive and interactive user experience. To support large metagenomic datasets, the system will incorporate range-based loading and progressive data access strategies. The final outcome will include a production-ready indexing pipeline, a browser-based query engine, performance benchmarks, and a reusable React component that can be integrated across multiple EMBL-EBI web applications without requiring backend services.