Orthology inference at scale with FastOMA.
Details
Serval ID
serval:BIB_16D2692F826F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Orthology inference at scale with FastOMA.
Journal
Nature methods
ISSN
1548-7105 (Electronic)
ISSN-L
1548-7091
Publication state
In Press
Peer-reviewed
Oui
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Publication Status: aheadofprint
Abstract
The surge in genome data, with ongoing efforts aiming to sequence 1.5 M eukaryotes in a decade, could revolutionize genomics, revealing the origins, evolution and genetic innovations of biological processes. Yet, traditional genomics methods scale poorly with such large datasets. Here, addressing this, 'FastOMA' provides linear scalability for orthology inference, enabling the processing of thousands of eukaryotic genomes within a day. FastOMA maintains the high accuracy and resolution of the well-established Orthologous Matrix (OMA) approach in benchmarks. FastOMA is available via GitHub at https://github.com/DessimozLab/FastOMA/ .
Pubmed
Web of science
Open Access
Yes
Create date
09/01/2025 15:14
Last modification date
10/01/2025 7:05