OMAMO: orthology-based model organism selection

biorxiv(2021)

引用 0|浏览0
暂无评分
摘要
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 O rthologous Ma trix and M odel O rganisms, 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 , Contact christophe.dessimoz{at}unil.ch and sina.majidian{at}unil.ch Supplementary information Supplementary data are available at Bioinformatics online. ### Competing Interest Statement The authors have declared no competing interest.
更多
查看译文
关键词
selection,omamo,model,orthology-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要