Training Program in High-Dimensional Bioinformatics (HDB)

高维生物信息学（HDB）培训项目

• 批准号: 466118-2015
• 负责人: Pavlidis, Paul
• 金额: $ 21.86万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Training Experience
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=598232
• 关键词: Training; Program; Dimensional; Bioinformatics; HDB

The last ten years has brought a complete paradigm shift in fields of science and industries, ranging from environmental management, aquaculture, forestry, agriculture and the energy sector. Technological innovation has given scientists unprecedented ability to gather and analyze huge quantities of data. This newly collected data has created challenges due to its enormity and complexity, where informatics, bioinformatics and computational biology have central importance. Exploiting these huge reservoirs of multi-faceted data is the only means by which new discoveries and innovation will be possible. Individuals with the expertise to organize, visualize, analyze, integrate and interpret large data sets are extremely highly sought in industry and academia, particularly the large genomic data sets now being generated. Analysis of these large data sets demands expertise in date modeling, data mining, and statistical hypothesis testing, as well as multidisciplinary training in genetics and genomics. Current undergraduates typically lack the quantitative skills to find statistical needles in noisy haystacks, and require graduate training to be well positioned for the job market. In response to this, we propose to establish an innovative new graduate training program in "High-Dimensional Bioinformatics" (HDB) focused on the development of these highly desirable analytical skills required to interpret big data sets. HDB will fill the critical need for cross-disciplinary and collaborative research training in applied bioinformatics by providing extensive value-added activities beyond a standard thesis-based degree program. An innovative partnership between the University of British Columbia (UBC) and Simon Fraser University (SFU), as well as an internship program, will encourage mobility between universities and other workplaces, and further strengthen linkages and collaboration among Canadian high-technology research groups in the private and public sector.

在过去的十年里，科学和工业领域发生了彻底的范式转变，包括环境管理、水产养殖、林业、农业和能源部门。技术创新赋予了科学家前所未有的收集和分析大量数据的能力。这些新收集的数据由于其庞大性和复杂性而带来了挑战，其中信息学、生物信息学和计算生物学具有核心重要性。利用这些巨大的多方面数据库是新发现和创新的唯一途径。具有组织，可视化，分析，整合和解释大型数据集的专业知识的个人在工业界和学术界都非常受欢迎，特别是现在正在生成的大型基因组数据集。这些大型数据集的分析需要数据建模，数据挖掘和统计假设检验方面的专业知识，以及遗传学和基因组学方面的多学科培训。目前的本科生通常缺乏在嘈杂的干草堆中找到统计针的定量技能，并且需要研究生培训才能为就业市场做好准备。针对这一点，我们建议在“高维生物信息学”（HDB）中建立一个创新的新研究生培训计划，重点是开发解释大数据集所需的这些非常理想的分析技能。HDB将通过提供超出标准论文学位课程的广泛增值活动，满足应用生物信息学跨学科和协作研究培训的迫切需求。不列颠哥伦比亚省大学（UBC）和西蒙弗雷泽大学（SFU）之间的创新伙伴关系以及实习计划将鼓励大学和其他工作场所之间的流动，并进一步加强加拿大私营和公共部门高科技研究团体之间的联系和合作。