Why OrthoFinder?

In the coming decades, millions of species will have their genomes sequenced. This data has the power to transform comparative genomics, but we need scalable tools to handle this volume of data. OrthoFinder meets this challenge, with a new scalable framework that allows rapid orthology inference on thousands of species, without compromising accuracy. We focus on:

  • Accuracy
    OrthoFinder is the overall best performing tool across orthogroup and ortholog benchmarking.
  • Scalability
    OrthoFinder allows you to analyse thousands of species on conventional computing resources.
  • Usability
    OrthoFinder only requires a single fasta file for each species, and outputs a vast array of comparative genomic information including gene trees and gene duplication events.
  • Flexibility
    Users can easily swap to different tree-inference and multiple sequence alignment tools, thanks to OrthoFinder’s modular design.

Development and community

OrthoFinder is developed by Steve Kelly’s research group at the University of Oxford. We have an active community of users and developers on GitHub, who can provide help and assistance

Meet the Team

Current Team Member

Jonathan Holmes

Jonathan Holmes

Postdoctoral Researcher

Laurence Belcher

Laurence Belcher

Postdoctoral Researcher

Yi Liu

Yi Liu

Computational Engineer


Former Team Member

David Emms

David Emms

Computational Geneticist