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Editorial
. 2020 Jul 1:9:665.
doi: 10.12688/f1000research.24904.1. eCollection 2020.

Making the most of genomic data with OMA

Natasha M Glover  1   2   3
Affiliations
Editorial

Making the most of genomic data with OMA

Natasha M Glover. F1000Res. .

Abstract

The OMA Collection is a resource for users of Orthologous Matrix. In this collection, we provide tutorials and protocols on how to leverage the tools provided by OMA to analyse your data. Here, I explain the motivation for this collection and its published works thus far.

Keywords: OMA; Orthologous Matrix; collection; orthologs.

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Conflict of interest statement

No competing interests were disclosed.

References

    1. Altenhoff AM, Glover NM, Train CM, et al. : The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces. Nucleic Acids Res. 2018;46(D1):D477–85. 10.1093/nar/gkx1019 - DOI - PMC - PubMed
    1. Altenhoff AM, Levy J, Zarowiecki M, et al. : OMA standalone: orthology inference among public and custom genomes and transcriptomes. Genome Res. 2019;29(7):1152–63. 10.1101/gr.243212.118 - DOI - PMC - PubMed
    1. Zahn-Zabal M, Dessimoz C, Glover NM: Identifying orthologs with OMA: A primer [version 1; peer review: 2 approved]. F1000Res. 2020;9:27. 10.12688/f1000research.21508.1 - DOI - PMC - PubMed
    1. Dylus D, Nevers Y, Altenhoff AM, et al. : How to build phylogenetic species trees with OMA [version 1; peer review: awaiting peer review]. F1000Res. 2020;9:511 10.12688/f1000research.23790.1 - DOI - PMC - PubMed
    1. Sima AC, Dessimoz C, Stockinger K, et al. : A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL [version 1; peer review: 2 approved with reservations]. F1000Res. 2019;8:1822 10.12688/f1000research.21027.1 - DOI - PMC - PubMed

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