OMAMO: orthology-based alternative model organism selection
| Autor: | Christophe Dessimoz, Adrian Altenhoff, Sina Majidian, Alina Nicheperovich |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Bioinformatics, vol. 38, no. 10, pp. 2965-2966 Bioinformatics, 38 (10) |
| ISSN: | 1367-4803 1460-2059 |
| Popis: | 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 noncomplex 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. Bioinformatics, 38 (10) ISSN:1367-4803 ISSN:1460-2059 |
| Databáze: | OpenAIRE |
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