Development of an ontology-based search method for human pluripotent stem cells and of a recommendation tool for cell lines, publications and research projects (OsemPSC).

胚胎干细胞（ES -cells）或诱导多能干细胞（IPS -cells）可以分化成人体的所有细胞类型)并代表供体的基因型（ES -cells是胚胎，IPS-lines是体细胞）。因此，多能干细胞（PS-cells）可用于体外疾病和组织建模、药物测试和再生医学。已经建立了大型细胞库和登记处，为广泛的疾病提供具有表型和基因型代表性的pcell，这些pcell已以标准化的方式获得和表征。对于用户识别合适的PS细胞，关于供体、细胞和已经进行的应用的信息是必不可少的。这些信息以不同的数据类型编码，并分布在不同的数据库、手机库和注册表中。随着数据的日益庞大和多样化，用户越来越难以识别出高质量的相关数据和ps线。此外，不可能以有意义的方式链接来自不同注册表和数据库的数据。这不仅是对资源的浪费和对用户的问题，而且对科学的可重复性和透明度也造成了越来越大的风险。为了以有意义的方式链接和限定来自现有数据资源的psc数据，必须开发新的方法和工具。在这个项目中，我想开发并实现一个基于本体的搜索算法，通过识别数据的含义并使用它进行搜索，来解决从不同数据源中搜索细胞系的问题。在此基础上，将开发一个自动补全的工具，自动向用户推荐感兴趣的细胞系、出版物和研究项目。为了实现这一目标，将实现一个本体，其中包含有关线条的所有相关信息，并将它们链接到其他本体，例如疾病，表型，组织和细胞类型。这还支持不同数据源的链接。人类多能干细胞登记处（hPSCreg）是一个关于ps细胞的国际公共数据库，将作为研究、实施、用户交互和可持续性的基础。在这个项目中开发的工具应该以模块化的方式实施，允许与其他细胞库，如EBiSC（欧洲诱导多能干细胞银行）或其他平台的互操作性。

Embryonic stem cells (ES - cells) or induced pluripotent stem cells (IPS - cells) can differentiate into all cell types of a human body) and represent the genotype of the donor (embryo for ES-cells, somatic cells for IPS-lines). Therefore, pluripotent stem cells (PS-cells) could be used for modelling diseases and tissues in vitro, testing drugs and for regenerative medicine. Large cell banks and registries have been established to provide phenotypic and genotypic representative PScells for a wide spectrum of diseases, which have been derived and characterised in a standardised way. For users to identify suitable PS cells, information about the donors, the cells and the already ensued application are essential. This information is encoded in different data types and distributed in different databanks, cell banks and registries. With the increasing mass and diversity of data it is getting more and more difficult for users to identify relevant data and PS-lines of high quality. It is furthermore impossible to link data from different registries and databases in a meaningful way. This not only is a waste of resources and a problem for users, it is also a increasing risk for scientific reproducibility and transparency. To link and qualify PSCdata from available data resources in a meaningful way, new methods and tools have to be developed. In the proposed project, I want to develop and implement an ontology-based search algorithm to solve the problem of searching for cell lines from different data sources by recognizing the meaning of the data and use it for searching. Based on this, a tool will be developed for proposing autocompletion to automatically recommend interesting cell lines, publications and research projects to the user. To reach this goal, an ontology will be implemented, containing all relevant information about the lines and linking them to other ontologies e.g. for diseases, phenotype, tissue and cell types. This also enables the linkage of different data sources. The human pluripotent stem cell registry (hPSCreg), a public international database for PS-cells will be used as basis for research, implementation, user interaction and sustainability. The tools developed in this project should be implemented in a modular way that allows interoperability with other cell banks like EBiSC (European Bank for induced pluripotent stem cells) or other platforms.