Dear Galaxy developers, we are planning to build a data warehouse for a research center that utilizes multiple high-throughput experimental platforms, e.g. plate-based HTS assays, microarrays of several different types, ChIP-seq, RNA-seq. We have been thinking of managing the data in a relational database. Galaxy looks attractive to us for its workflow management and data provenance features, e.g. to keep track of how raw data are analyzed to produce normalized & summarized datasets and/or final sets of statistics such as p values. We wonder how amenable would Galaxy be to integration with a relational data store. One possible scenario might be to have Galaxy import a dataset from a relational database, run a workflow, then submit the results back to the database with the associated history or link thereto. Another possibility is to forgo the relational database altogether and do all our data management within Galaxy. Any thoughts? We don't have much experience with Galaxy and would appreciate insights from those who do. Many thanks. Yury -- Yury V. Bukhman, Ph.D. Associate Scientist, Bioinformatics Great Lakes Bioenergy Research Center University of Wisconsin - Madison 445 Henry Mall, Rm. 513 Madison, WI 53706, USA Phone: 608-890-2680 Fax: 608-890-2427 Email: ybukhman@glbrc.wisc.edu