Computational Biology

计算生物学

• 批准号: CRC-2019-00008
• 负责人: Moses, Alan
• 金额: $ 7.29万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730570
• 关键词: Computational; Biology

Inside, even the simplest, tiniest cell is unbelievably complex, with thousands of molecules working together in various combinations. The idea of a single gene carrying out an independent function has given way to a more sophisticated understanding of the pathways and networks that control an organism¿s observable characteristics.Researchers¿ growing interest in these complex relationships is leading to bigger, faster, and more efficient experiments: a data explosion. We are developing computational and statistical techniques that will use biological data to understand how molecules create cells¿ complex behaviours, identify which genetic mutations cause cellular malfunctions and which lead to evolution.

在内部，即使是最简单、最小的细胞也极其复杂，有数千个分子以各种组合方式协同工作。单个基因执行独立功能的想法已经让位于对控制有机体可观察特征的途径和网络的更复杂的理解。研究人员对这些复杂关系的兴趣日益浓厚，导致了更大、更快、更高效的实验：数据爆炸。我们正在开发计算和统计技术，利用生物数据来了解分子如何创造细胞的复杂行为，识别哪些基因突变导致细胞功能障碍以及哪些基因突变导致进化。