WORKSHOP: MASS SPECTROMETRY BIG DATA TO KNOWLEDGE

研讨会：质谱大数据知识

• 批准号: 1349575
• 负责人: John Yates
• 金额: $ 7.65万
• 依托单位: The Scripps Research Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1349575&HistoricalAwards=false
• 关键词: WORKSHOP; MASS; SPECTROMETRY; BIG; DATA

Mass spectrometry is a chemical analysis tool that has played an important role in the advance of cell biochemistry and large-scale methods to study biological systems. This workshop, Mass Spectrometry Big Data to Knowledge, will seek to identify new mathematical and computational frameworks to advance the use of data produced by mass spectrometry. As specific software tools and methods can be drivers and enablers of new experimental paradigms, this workshop will also consider next generation ideas, for example questions that are not possible to answer now, experimentally, but may be enabled by new mass spectrometry-based approaches. This workshop is sponsored by the Division of Chemistry, the Division of Mathematical Sciences, the Division of Behavioral and Cognitive Sciences, and the Mathematical and Physical Sciences Office of Multidisciplinary Activities. The Mass Spectrometry Big Data to Knowledge Workshop, led by Professor John Yates III of the Scripps Research Institute, will examine the current challenges in bioinformatics and their relationship to mass spectrometry technology. The areas of discussion will include: 1) Bottlenecks in data analysis- where people spend their time; 2) Assessment of current methods to translate data to knowledge, and discussion of their limitations and challenges associated with application of these methods to mass spectrometry data sets; 3) The flexibility of current algorithmic methodologies in the face of changing landscapes of both instrumental and computational technologies, and 4) Where does mass spectrometry data fit in biological studies, including the discovery of mechanisms of disease? The conclusions of this workshop will be disseminated to the scientific community through websites and a workshop report.

质谱是一种化学分析工具，在细胞生物化学和大规模研究生物系统的方法的进步中发挥了重要作用。这次研讨会，质谱大数据知识，将寻求确定新的数学和计算框架，以促进使用质谱产生的数据。由于特定的软件工具和方法可以成为新实验范式的驱动力和推动力，本次研讨会还将考虑下一代想法，例如现在无法通过实验回答的问题，但可以通过新的基于质谱的方法来实现。该研讨会由化学部，数学科学部，行为和认知科学部以及多学科活动的数学和物理科学办公室赞助。由Scripps研究所的John Yates III教授领导的质谱大数据知识研讨会将研究生物信息学当前面临的挑战及其与质谱技术的关系。讨论的领域将包括：1）数据分析的瓶颈-人们花费时间的地方; 2）评估当前将数据转化为知识的方法，并讨论与这些方法应用于质谱数据集相关的局限性和挑战; 3）当前算法方法在面对仪器和计算技术不断变化的情况下的灵活性，以及4）质谱数据在生物学研究中的位置，包括疾病机制的发现？研讨会的结论将通过网站和研讨会报告向科学界传播。