PT  - JOURNAL ARTICLE
AU  - Alina Nicheperovich
AU  - Adrian M. Altenhoff
AU  - Christophe Dessimoz
AU  - Sina Majidian
TI  - OMAMO: orthology-based model organism selection
AID  - 10.1101/2021.11.04.467067
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.11.04.467067
4099  - http://biorxiv.org/content/early/2021/11/05/2021.11.04.467067.short
4100  - http://biorxiv.org/content/early/2021/11/05/2021.11.04.467067.full
AB  - 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 higher animals. To address these issues, we have developed Orthologous Matrix and Model Organisms, a software and a website that provide the user with the best simple organism for research into a biological process of interest based on orthologous relationships between the human and the species. The outputs provided by the database were supported by a systematic literature review.Availability and implementation https://omabrowser.org/omamo/, https://github.com/DessimozLab/omamoContact christophe.dessimoz{at}unil.ch and sina.majidian{at}unil.chSupplementary information Supplementary data are available at Bioinformatics online.Competing Interest StatementThe authors have declared no competing interest.