课题基金 / 基金详情

Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution

Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution
微生物宏基因组数据分析和计算分子进化的统计建模、推理和方法
批准号:
RGPIN-2017-05108
负责人:
Gu, Hong
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

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中文摘要
翻译
最近的研究表明,微生物群对我们的生活有着巨大的影响。微生物群落在人类健康、农业和环境中发挥着至关重要的作用。***尽管它们的重要性无可争议,但我们对微生物之间如何相互作用以及在微生物群落中如何共同发挥作用知之甚少。我的研究项目的主要目的是开发统计方法和模型,以了解微生物群落的组成和功能以及它们与宿主基因组和/或环境的相互作用。微生物组数据提出了新的统计挑战,因此需要新的统计方法。这些统计方法也将推动统计学领域的发展,导致微生物组研究以外的进一步潜在应用。提出的研究的直接结果将为分析微生物组数据提供工具。这将在多个领域带来好处。******在人类健康方面,了解微生物组变化如何与不同疾病状态相关,将对诊断和治疗方案的选择产生直接的临床益处。例如,了解IBD的病因和微生物组对各种治疗的反应可能会导致未来治疗的改进,包括新的微生物治疗。微生物治疗已经成功应用于某些疾病,如粪便移植治疗艰难梭菌和植物乳杆菌益生菌治疗预防新生儿败血症。进一步的研究将改进这些治疗方法,并带来新的治疗方法。***IBD是一种新出现的健康问题,与高发病率和卫生保健费用有关。每150名加拿大人中就有1人患有IBD(世界上发病率最高的国家之一),估计每年给加拿大人带来28亿美元的经济负担。******另一个主要的健康相关领域是肥胖。研究表明,肠道微生物群与肥胖之间存在联系,但人们对这种联系知之甚少。我提出的研究方法将有助于阐明肥胖和微生物组之间的联系过程,从而为肥胖相关的健康状况提供预防措施和治疗。******在环境方面,我与世界著名科学家Julie Laroche合作,使我能够研究海洋微生物组数据。微生物组在海洋生态系统中起着至关重要的作用,微生物组的变化会对更高的营养水平产生影响。因此,污染和气候变化对海洋微生物群的影响引起了人们的极大关注。我希望这个研究项目的许多结论和方法也适用于其他环境微生物组样本。* * * * * *
英文摘要
Recent research has shown the enormous influence of the microbiome on our lives. Microbial communities play crucial roles in human health, agriculture and the environment.***Despite their undisputed importance, we know very little about how the microbes interact with each other and function together in the microbial community. The main aim of my research program is to develop statistical methods and models to understand the compositions and functions of the microbial communities and their interaction with host genome and/or environment. Microbiome data present new statistical challenges, thus new statistical methods will be needed. These statistical methods will also advance the field of statistics, leading to further potential applications outside of microbiome research. The direct results of the proposed research will provide tools for analyzing the microbiome data. This will have benefits in multiple areas.******On the human health front, knowledge about how the microbiome changes are related to different disease status will have the immediate clinical benefit on diagnostics and choices of treatment regime. For example, understanding the causes of IBD and the response of the microbiome to various treatments could lead to improved treatments in future, including new microbial treatments. There have already been successful applications of microbial treatments for some conditions, such as faecal transplants for treating C. Difficile and L. Plantarum probiotic treatments for preventing neonatal sepsis. Further research will improve these treatments and lead to new treatments.***IBD is an emerging health problem associated with high morbidity and health care costs. IBD affects about 1 in 150 Canadians (among the highest rates in the world) with the estimated economic burden to Canadians as $2.8 billion per year. ******Another major health-related area of interest is obesity. Research has indicated a link between the gut microbiome and obesity, but little is known about the connection. The methods in my proposed research will help to shed light on the processes linking obesity and the microbiome, leading to preventative measures and treatment for obesity-related health conditions.******On the environmental side, my collaboration with world renowned scientist, Julie Laroche, allows me to work on ocean microbiome data. The microbiome plays a critical role in the ocean ecosystem, and changes to the microbiome can have repercussions on the higher trophic levels. The effects of pollution and climate change on the ocean microbiome are therefore of great concern. I expect many of the conclusions and methods from this research project will also apply to other environmental microbiome samples. ******
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Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution
  • 批准号:
    RGPIN-2017-05108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.5万
  • 财政年份:
    2021
  • 负责人:
    Gu, Hong
  • 依托单位:
Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution
  • 批准号:
    RGPIN-2017-05108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2020
  • 负责人:
    Gu, Hong
  • 依托单位:
Real-time statistical anomaly detection in video
  • 批准号:
    531338-2018
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Gu, Hong
  • 依托单位:
Statistical modeling, inference and methodology in microbial metagenomics data analysis and computational molecular evolution
  • 批准号:
    RGPIN-2017-05108
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2018
  • 负责人:
    Gu, Hong
  • 依托单位:
国内基金
海外基金
Galaxy Analytical Modeling Evolution (GAME) and cosmological hydrodynamic simulations.
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2025
  • 负责人:
    Antonios Katsianis
  • 依托单位:
页岩超临界CO2压裂分形破裂机理与分形离散裂隙网络研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2020
  • 负责人:
  • 依托单位:
非管井集水建筑物取水机理的物理模拟及计算模型研究
  • 批准号:
    40972154
  • 项目类别:
    面上项目
  • 资助金额:
    41.0万元
  • 批准年份:
    2009
  • 负责人:
    王玮
  • 依托单位:
微生物发酵过程的自组织建模与优化控制
  • 批准号:
    60704036
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2007
  • 负责人:
    高学金
  • 依托单位: