FastOMA
FastOMA provides linear scalability for orthology inference, enabling the processing of thousands of eukaryotic genomes within a day while maintaining the high accuracy and resolution of the Orthologous Matrix (OMA) approach.
Key Features:
- Linear scalability: FastOMA scales linearly with dataset size, addressing the poor scaling of traditional genomics methods with large datasets.
- High-throughput processing: FastOMA can process thousands of eukaryotic genomes within a day.
- Accuracy maintenance: FastOMA maintains the high accuracy and resolution of the well-established Orthologous Matrix (OMA) approach in benchmarks.
Scientific Applications:
- Large-scale eukaryotic genomics: FastOMA supports orthology inference for large-scale genome sequencing efforts, such as those aiming to sequence 1.5 million eukaryotes.
- Evolutionary and functional genomics: FastOMA enables studies revealing the origins, evolution, and genetic innovations of biological processes through orthology relationships.
Methodology:
FastOMA implements the Orthologous Matrix (OMA) approach with algorithmic optimizations for linear scalability.
Topics
Details
- License:
- MPL-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 12/22/2025
- Last Updated:
- 12/22/2025
Operations
Data Inputs & Outputs
Genome comparison
Publications
Documentation
Quick start guide
https://github.com/DessimozLab/FastOMA/blob/main/README.mdLinks
Repository
https://github.com/dessimozlab/FastOMAService
https://omabrowser.orgRelated Tools
omamer
Relation: uses