Computational methods in methaphlogenomics

甲基基因组学的计算方法

• 批准号: 311625-2010
• 负责人: ArisBrosou, Stephane
• 金额: $ 1.46万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=457074
• 关键词: Computational; methods; methaphlogenomics

With the advent of rapid and cheap sequencing technologies comes the possibility to obtain complete genomes from a large range of organisms sampled across diverse environments. While the functional analysis of such metagenomes has made some recent headway, their evolutionary analysis is still hampered by methodological and computational issues, in particular to be able to analyze genomics data sets containing thousands of sequences. In this proposal I put forward the development of a new field, that of metaphylogenomics, by (i) assessing the performance of metaphylogenomics methods to reconstruct past evolutionary patterns and setting the results in an ecological context; (ii) developing methods that will predict future or emerging metagenomes; and (iii) investigating new directions in population metagenomics. In addition to training at least four graduate students, the proposed research program is expected to advance the field of metaphylogenomics, to benefit public health by improving vaccine design against viral metagenomes, and to provide this new field with a solid theoretical foundation.

随着快速且廉价的测序技术的出现，从不同环境中采样的大量生物体中获取完整基因组成为可能。虽然此类宏基因组的功能分析最近取得了一些进展，但它们的进化分析仍然受到方法和计算问题的阻碍，特别是能够分析包含数千个序列的基因组数据集。在这个提案中，我提出了一个新领域的发展，即宏系统基因组学，通过（i）评估宏系统基因组学方法的性能来重建过去的进化模式并将结果置于生态环境中； (ii) 开发预测未来或新兴宏基因组的方法； (iii) 研究群体宏基因组学的新方向。除了培训至少四名研究生外，拟议的研究计划预计将推动宏基因组学领域的发展，通过改进针对病毒宏基因组的疫苗设计来造福公众健康，并为这一新领域提供坚实的理论基础。