# GFFx: A Rust-based suite of utilities for ultra-fast genomic feature extraction

## TL;DR

GFFx is a fast and efficient Rust-based toolkit for accessing and analyzing genome annotations with significantly improved performance over existing tools.

## Contribution

GFFx introduces a high-performance, memory-safe toolkit for genome annotation access using Rust, with a novel indexing system and I/O optimization.

## Key findings

- GFFx achieves 10–80 times faster ID-based feature extraction compared to existing tools.
- Region-based queries are 20–60 times faster with GFFx, while maintaining low memory usage.
- The toolkit supports fast coverage profiling and is suitable for large-scale genomic workflows.

## Abstract

Genome annotations have become increasingly complex with the discovery of diverse regulatory elements and transcript variants, posing growing challenges for efficient data querying and storage. Existing tools often show performance bottlenecks when processing large-scale annotation files, especially for region-based searches and hierarchical feature extraction. Leveraging Rust’s advantages in execution speed, memory safety, and multithreading offers a promising path toward scalable solutions for genome annotation access.

We present GFFx, a Rust-based toolkit for high-performance access to GFF annotation files. It employs a compact, model-aware indexing system and memory-mapped I/O to enable fast random access with minimal overhead. Benchmarks across multiple genomes show 10–80 times faster ID-based extraction, 20–60 times faster region retrieval, and 7–14 times faster coverage profiling than existing tools, while maintaining low memory use and small index size.

GFFx offers a lightweight and scalable infrastructure for efficient genome annotation access and quantitative analysis. By combining Rust’s performance and safety with an extensible design, it provides a robust foundation for large-scale and multi-omics workflows.