Computational models, algorithms and methods for comparative genomics, applied to pathogens and anopheles mosquitoes genomes

应用于病原体和按蚊基因组的比较基因组学计算模型、算法和方法

• 批准号: RGPIN-2017-03986
• 负责人: Chauve, Cedric
• 金额: $ 1.89万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=628797
• 关键词: Computational; models; algorithms; methods; comparative

Genome rearrangements are rare evolutionary events that alter the order of genes along chromosomes. They can be related to the development of virulence in pathogens, the emergence of new species or the adaptation to new environmental conditions or ecological niches. Over the last 10 years, my collaborators and I, as well as other groups, have made significan t advances in the development of already widely applicable methods for inferring gene order evolution scenarios and ancestral gene orders.

基因组重排是罕见的进化事件，它改变了沿染色体的基因的顺序。它们可能与病原体中毒力的发展，新物种的出现或适应新的环境条件或生态壁ni。在过去的十年中，我和我的合作者以及其他群体在开发已经广泛适用的方法来推断基因顺序演化方案和祖先基因订单方面取得了显着进步。