WORKSHOP: MASS SPECTROMETRY BIG DATA TO KNOWLEDGE

质谱学是一种化学分析工具，在细胞生物化学和大规模生物系统研究方法的发展中发挥了重要作用。这个名为质谱学大数据到知识的研讨会将寻求确定新的数学和计算框架，以促进质谱学产生的数据的使用。由于特定的软件工具和方法可以成为新的实验范式的推动者和推动者，本次研讨会还将考虑下一代想法，例如现在不可能通过实验回答的问题，但可能通过基于质谱学的新方法来实现。这次讲习班由化学处、数学科学处、行为和认知科学处以及多学科活动数学和自然科学办公室主办。由斯克里普斯研究所的约翰·耶茨三世教授领导的质谱学大数据到知识研讨会将研究当前生物信息学中的挑战及其与质谱学技术的关系。讨论的领域将包括：1)数据分析的瓶颈--人们将时间花在哪里；2)评估当前将数据转化为知识的方法，并讨论将这些方法应用于质谱学数据集的局限性和挑战；3)面对仪器和计算技术的变化，当前算法方法的灵活性；以及4)质谱学数据在生物学研究中的适用性，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分发给科学界。

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.