OMAMO: orthology-based alternative model organism selection

Abstract Summary The conservation of pathways and genes across species has allowed scientists to use non-human model organisms to gain a deeper understanding of human biology. However, the use of traditional model systems such as mice, rats and zebrafish is costly, time-consuming and increasingly ra...

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Veröffentlicht in:Bioinformatics 2022-05, Vol.38 (10), p.2965-2966
Hauptverfasser: Nicheperovich, Alina, Altenhoff, Adrian M, Dessimoz, Christophe, Majidian, Sina
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Sprache:eng
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Zusammenfassung:Abstract Summary The conservation of pathways and genes across species has allowed scientists to use non-human model organisms to gain a deeper understanding of human biology. However, the use of traditional model systems such as mice, rats and zebrafish is costly, time-consuming and increasingly raises ethical concerns, which highlights the need to search for less complex model organisms. Existing tools only focus on the few well-studied model systems, most of which are complex animals. To address these issues, we have developed Orthologous Matrix and Alternative Model Organism (OMAMO), a software and a web service that provides the user with the best non-complex organism for research into a biological process of interest based on orthologous relationships between human and the species. The outputs provided by OMAMO were supported by a systematic literature review. Availability and implementation https://omabrowser.org/omamo/, https://github.com/DessimozLab/omamo. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btac163