Computational Methods for Capturing and Analyzing Personalized Genomic and Medical Data

捕获和分析个性化基因组和医学数据的计算方法

• 批准号: RGPIN-2017-06883
• 负责人: Brudno, Michael
• 金额: $ 3.06万
• 依托单位: University of Toronto
• 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=634709
• 关键词: Computational; Methods; Capturing; Analyzing; Personalized

My research centers on the development of Computer Science methods to help solve problems in Biology and Medicine. While my research has application to many areas of medicine and genomics, the unifying thread through all of my work is the development of novel computational methods, firmly within the domain of Computer Science, to solve these problems. In the next five years I want to focus on the development of three computational approaches that can be combined for more accurate and rapid capture and analysis of medical data. In all of these cases the effort will be primarily on developing novel computational methodology and approaches, rather than deployment of existing technologies in the medical setting, and many of the methods developed will be generalizable outside of the medical setting.

我的研究中心是计算机科学方法的发展，以帮助解决生物学和医学中的问题。虽然我的研究应用于医学和基因组学的许多领域，但贯穿我所有工作的统一主线是开发新的计算方法，牢牢地在计算机科学领域内，以解决这些问题。在接下来的五年里，我希望专注于开发三种计算方法，这些方法可以结合起来，更准确，更快速地捕获和分析医疗数据。在所有这些情况下，努力将主要集中在开发新的计算方法和途径上，而不是在医疗环境中部署现有技术，并且开发的许多方法将在医疗环境之外推广。