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.

基因组重排是改变染色体上基因顺序的罕见进化事件。它们可能与病原体毒力的发展、新物种的出现或对新环境条件或生态位的适应有关。在过去的10年里，我和我的合作者，以及其他小组，在已经广泛应用的推断基因顺序进化情景和祖先基因顺序的方法的发展方面取得了重大进展。