NGFN-PLUS
Data Management
| Coordinator: | Prof. Dr. Martin Hrabé de Angelis | |
| Institution: | Institut für Experimentelle Genetik, Helmholtz Zentrum München | |
| Homepage: | www.helmholtz-muenchen.de/en/ieg |
The subproject GMC data management has a central and essential function for the other GMC subprojects and the German EMMA node. It is involved in all steps of scientific data management, starting with data capture and storage, statistical analysis and visualisation up to the export into public project databases and the presentation on the GMC web site. For an effective collaboration of the GMC subprojects software applications are developed in-house. This includes a mouse colony and phenotyping result management system, a system for the management of cryopreserved samples and some workflow management tools to support daily work steps. All of these applications will be further developed and integrated into a new modular data management system. A relational database management system stores the information captured from all subprojects.
To reduce the individual efforts for the GMC scientists to find and collect relevant information stored in public databases and displayed on many different web sites, members of the data management project will provide a standard procedure for the extraction of data on gene function to ease the efforts needed for the discussion of the phenotyping results. Moreover, existing bioinformatics tools will be used to search for promising candidate genes in public databases so that the corresponding knockout lines can be selected as favourite potential animal models for human disease in high-throughput mouse phenotyping projects.

Additional relevant Internet links:
The German Mouse Clinic
Further Coordinators:
To reduce the individual efforts for the GMC scientists to find and collect relevant information stored in public databases and displayed on many different web sites, members of the data management project will provide a standard procedure for the extraction of data on gene function to ease the efforts needed for the discussion of the phenotyping results. Moreover, existing bioinformatics tools will be used to search for promising candidate genes in public databases so that the corresponding knockout lines can be selected as favourite potential animal models for human disease in high-throughput mouse phenotyping projects.
Additional relevant Internet links:
The German Mouse Clinic
KTT
MEDIA
CURRENT
JOBS
NGFN- MEETING
NGFN1&2
LINKS


