Combinatorial algorithms in bioinformatics

生物信息学中的组合算法

• 批准号: 105809-2011
• 负责人: Gupta, Arvind
• 金额: $ 1.75万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=522018
• 关键词: Combinatorial; algorithms; bioinformatics

One of the great scientific feats of the 20th century is the understanding of the quantitative nature of biological systems. The resulting explosion of information has challenged scientists to develop novel in-silico tools to model, analyze, and infer the underlying processes. Dubbed bioinformatics, the result is a multi-disciplinary effort bringing together mathematics and computer scientists with biologists and chemists. My long-term research interest on algorithms for analyzing combinatorial structures has, over the past ten years, increasingly centered on cellular processes; problems my lab is considering include:

20世纪的伟大科学成就之一是对生物系统的定量性质的理解。由此产生的信息爆炸挑战了科学家们开发新的计算机工具来建模，分析和推断潜在的过程。被称为生物信息学，其结果是一个多学科的努力汇集了数学和计算机科学家与生物学家和化学家。在过去的十年里，我对分析组合结构的算法的长期研究兴趣越来越多地集中在细胞过程上;我的实验室正在考虑的问题包括：