IT infrastructur for Computational Molecular Medicine

随着由Julien Gagneur教授领导的新成立的计算分子医学教席的设立，还必须建立一个新的IT基础设施。这一新的信息技术基础设施对于主席在基因组学和孟德尔罕见疾病诊断领域的研究以及在最高一级建立以深度学习为基础的监管过程模型是必要的。计划中的数据存储系统容量为800TB，将能够同时存储和分析大型下一代基于测序的参考数据集和本地研究数据集。为了同时为20-30名研究人员提供足够的计算能力来分析这些800TB数据，计划建立一个具有700个CPU的计算集群。集成的图形处理器将为培训新的和更复杂的模型铺平道路。然后，这些模型可以用来发现新的基因-疾病关联，从而促进和改进对罕见孟德尔疾病的研究。

With the newly created Chair of Computational Molecular Medicine, which is headed by Prof. Julien Gagneur, a new IT infrastructure must also be established. This new IT infrastructure is necessary to enable the chair's research in the field of genomics and diagnostics of rare Mendelian diseases as well as deep-learning-based modelling of regulatory processes at the highest level. The planned data storage system with a capacity of 800Tb will enable the simultaneous storage and analysis of large next-generation sequencing-based reference data sets with local research data sets. To provide simultaneously 20-30 researchers with sufficient computing power for the analysis of these 800Tb data, a computing cluster with 700 CPUs is planned. The integrated GPUs will pave the way for training new and more complex models. These models can then be used to discover new gene-disease associations, thereby advancing and improving research on rare Mendelian diseases.