OMAMO: orthology-based alternative model organism selection.

Details

Serval ID
serval:BIB_E49811D00537
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
OMAMO: orthology-based alternative model organism selection.
Journal
Bioinformatics
Author(s)
Nicheperovich A., Altenhoff A.M., Dessimoz C., Majidian S.
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Publication state
Published
Issued date
18/03/2022
Peer-reviewed
Oui
Volume
38
Number
10
Pages
2965-2966
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Abstract
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 Organisms, a software and a web service that provide 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.
https://omabrowser.org/omamo/, https://github.com/DessimozLab/omamo.
Supplementary data are available at Bioinformatics online.
Pubmed
Web of science
Create date
07/04/2022 9:55
Last modification date
24/05/2022 6:38
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