Dataset Information
OMAMO: orthology-based alternative model organism selection.
Ontology highlight
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.
SUBMITTER: Nicheperovich A
PROVIDER: S-EPMC9113245 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature
Publications
OMAMO: orthology-based alternative model organism selection.
Bioinformatics (Oxford, England) 20220318 10
<h4>Summary</h4>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 addre ...[more]