OMA standalone: orthology inference among public and custom genomes and transcriptomes.

Fiche du document

Type de document
Périmètre
Langue
Identifiants
Relations

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1101/gr.243212.118

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/31235654

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1549-5469

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_D405BD0232C33

Licences

info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/




Citer ce document

A.M. Altenhoff et al., « OMA standalone: orthology inference among public and custom genomes and transcriptomes. », Serveur académique Lausannois, ID : 10.1101/gr.243212.118


Métriques


Partage / Export

Résumé 0

Genomes and transcriptomes are now typically sequenced by individual laboratories but analyzing them often remains challenging. One essential step in many analyses lies in identifying orthologs-corresponding genes across multiple species-but this is far from trivial. The Orthologous MAtrix (OMA) database is a leading resource for identifying orthologs among publicly available, complete genomes. Here, we describe the OMA pipeline available as a standalone program for Linux and Mac. When run on a cluster, it has native support for the LSF, SGE, PBS Pro, and Slurm job schedulers and can scale up to thousands of parallel processes. Another key feature of OMA standalone is that users can combine their own data with existing public data by exporting genomes and precomputed alignments from the OMA database, which currently contains over 2100 complete genomes. We compare OMA standalone to other methods in the context of phylogenetic tree inference, by inferring a phylogeny of Lophotrochozoa, a challenging clade within the protostomes. We also discuss other potential applications of OMA standalone, including identifying gene families having undergone duplications/losses in specific clades, and identifying potential drug targets in nonmodel organisms. OMA standalone is available under the permissive open source Mozilla Public License Version 2.0.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Exporter en