OrthoFinder: phylogenetic orthology inference for comparative genomics

OrthoFinder: филогенетический вывод ортологии для сравнительной геномики
David Emms, Steven L. Kelly
2019-11-14

Quest for Orthologs benchmarkcomparative genomicsgene duplication eventsorthogroup inferencephylogenetic orthology inference
Here, we present a major advance of the OrthoFinder method. This extends OrthoFinder's high accuracy orthogroup inference to provide phylogenetic inference of orthologs, rooted gene trees, gene duplication events, the rooted species tree, and comparative genomics statistics. Each output is benchmarked on appropriate real or simulated datasets, and where comparable methods exist, OrthoFinder is equivalent to or outperforms these methods. Furthermore, OrthoFinder is the most accurate ortholog inference method on the Quest for Orthologs benchmark test. Finally, OrthoFinder's comprehensive phylogenetic analysis is achieved with equivalent speed and scalability to the fastest, score-based heuristic methods. OrthoFinder is available at https://github.com/davidemms/OrthoFinder.
1
Benchmarking on real and simulated datasets shows OrthoFinder is equivalent to or outperforms comparable methods across evaluated tasks.
2
OrthoFinder achieves the highest ortholog inference accuracy on the Quest for Orthologs benchmark.
3
OrthoFinder is openly available through its GitHub repository.
4
The enhanced OrthoFinder extends high-accuracy orthogroup inference to phylogenetic ortholog inference, rooted gene trees, duplication events, species trees, and comparative genomics statistics.
5
The method delivers comprehensive phylogenetic analyses with speed and scalability equivalent to the fastest score-based heuristic methods.

OrthoFinder's phylogenetic comparative-genomics analysis of genes and genomes

Accuracy, performance, and scalability of inferring orthologs, orthogroups, rooted gene and species trees, gene duplications, and comparative-genomics statistics

Publication Details
Publication Date
2019-11-14
Journal
Publisher
ISSN
Cited by
8364
Access Type
Author Information
Authors
David Emms
Steven L. Kelly
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat →
Make a presentation
100%