Integrated Data Storage and Analysis at the Core Facility Hohenheim

霍恩海姆大学目前正在建立一个全校范围的核心设施（CFH），最初包括三个模块，并将于2016年6月1日正式成立。分析化学模块分析不同基质（例如土壤，植物，动物饲料或肥料）中的无机和有机化合物。质谱模块对蛋白质和代谢物进行定性和定量质谱分析。光谱学模块使用NMR来确定有机分子和代谢物的结构。CFH将支持霍恩海姆大学用户的科学项目，但也将向外部用户开放。CFH模块的组合将集中霍恩海姆现有的分析专业知识，以支持大学在农业，营养，生态系统和生命科学研究和生物经济领域的研究，并促进大学科学形象的发展。此外，CFH可以成为新的合作和网络的焦点，为霍恩海姆大学以外的科学界提供服务和专业知识。拟议项目旨在建立一个通用平台，用于CFH模块的数据存储和分析，并为CFH用户提供生物信息学支持。将通过在本地服务器网络上安装开放源码信息系统openBIS（开放生物信息系统），实现所有三个模块的共同数据存储和检索系统的实施。OpenBIS允许有效管理CFH模块生成的分析数据以及用户通过适当的图形用户界面提供的元数据。OpenBIS可以通过实现额外的自定义功能集成到特定的数据分析工作流程中，例如可视化工具或将数据连接到数据处理管道。除了利用现有的数据处理管道建立工作流程外，该项目旨在开发生物信息学工具，用于综合分析多组学数据。这将通过扩展可免费获得的生物信息学工具来实现，例如在STATegra FP7 EU项目中开发的，用于针对CFH用户需求的综合数据分析。该项目的另一个目标是支持用户分析其项目产生的分析数据。此外，应通过提供有关数据处理管道和高通量数据统计数据分析的课程，使用户能够独立进行数据分析。总之，拟议项目将为CFH产生的数据提供可靠的数据存储和高效的数据分析。

The University of Hohenheim is currently establishing a university-wide Core Facility (CFH) that initially comprises three modules and will officially be founded at the first of June, 2016. The module Analytical Chemistry carries out analyses of inorganic and organic compounds in different matrices (e.g. soil, plants, animal feed or fertilizer). The module Mass Spectrometry performs qualitative and quantitative mass spectrometric analyses of proteins and metabolites. The Spectroscopy module uses NMR for structural determination of organic molecules and metabolites. The CFH will support scientific projects of users of the University of Hohenheim, but will also be open to external users. The combination of CFH modules will concentrate existing analytical expertise in Hohenheim in order to support the universities research in the fields of agricultural, nutritional, ecosystem and life sciences research and bioeconomy and promote the development of the scientific profile of the University. In addition, the CFH can be a focal point for novel collaborations and networks providing services and expertise to the scientific community beyond the University of Hohenheim. The proposed project intends to establish a common platform for data storage and analysis for the modules of the CFH, as well as to provide bioinformatics support for the users of the CFH. Implementation of a common data storage and retrieval system for all three modules will be achieved by installing the open-source information system openBIS (open Biology Information System) on a local sever network. OpenBIS allows efficient management of analytical data generated by CFH modules as well as metadata provided by the users via an appropriate graphic user interface. OpenBIS can be integrated in a specific data analysis workflow by implementing additional custom functionalities, such as visualization tools or connection of the data to data processing pipelines. Besides establishing workflows using already available data processing pipelines the project aims at developing bioinformatics tools for the integrated analysis of multi-omics data. This will be achieved by expanding freely available bioinformatics tools, developed, for example, in the STATegra FP7 EU project, for an integrated data analysis tailored to the needs of the CFH users. A further goal of this project will be to support users in the analysis of analytical data generated in their projects. In addition, users shall be enabled to perform data analysis independently by offering courses about data processing pipelines and statistical data analysis of high throughput data. In summary, the proposed project will enable reliable data storage and efficient data analysis for data generated at CFH.