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Welcome!
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This is a development server where we design, implement, and test
data-sharing system and animal/tissue management and distribution system for the
program project on aging (PPA) at the
PPA researchers may log in here. Other researchers may access public PPA data depository here. This new component will be accessible to all scientific staff in the Program Project and will be protected by password. A directory will be created for the staff on each core and each project. Within the directory, a subdirectory will be created for each sub-project (or for scientific papers under preparation or submitted). Staff from one core/project will be able to upload files and all scientific staff associated with the Program Project will be able to download the files after logging in. After a paper is published, the scientific staff in the Program Project will select data files and make them public.
Virtual Freezer, a web accessible relational database, designed to facilitate tracking and sharing animal models and tissues maintained by Core C, is currently being implemented. The schema of the database is available here. We anticipate a preliminary website will be available at its current address when the proposal is reviewed, and a fully functional version will be integrated into program project website by the time the funding cycle starts. The database is password protected and such only researchers associated with the program project will be assigned user names and passwords to access the database. A simple but efficient data entry routine was implemented to facilitate populating the database. Searches using criteria based on the information of samples and assays have been designed to efficiently track samples and retrieve results. The database is designed to be flexible and scalable to new features when needed. For example, currently the result field in essay table saves the path of the directory where all associated data files are saved. This can be easily extended to a new result table to accommodate the needs of datamining activities.
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Supported by NIH grant P01AG12993 and the K-INBRE Bioinformatics Core (NIH grant P20RR016475). |
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Contact Us: jwfang@ku.edu,
Applied Binformatics Laboratory, The University of Kansas |
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