High-throughput assays generate immense quantities of data that require sophisticated data analysis tools. We have created a freely available software tool, SLIMS (Small Laboratory Information Management System), for chemical genetics which facilitates the collection and analysis of large-scale chemical screening data. Compound structures, physical locations, and raw data can be loaded into SLIMS. Raw data from high-throughput assays are normalized using flexible analysis protocols, and systematic spatial errors are automatically identified and corrected. Various computational analyses are performed on tested compounds, and dilution-series data are processed using standard or user-defined algorithms. Finally, published literature associated with active compounds is automatically retrieved from Medline and processed to yield potential mechanisms of actions. SLIMS provides a framework for analyzing high-throughput assay data both as a laboratory information management system and as a platform for experimental analysis.
Kelley, Brian PLunn, Mitchell RRoot, David EFlaherty, Stephen PMartino, Allison MStockwell, Brent RR01 CA097061-01/CA/NCI NIH HHS/United StatesR01 CA097061-02/CA/NCI NIH HHS/United StatesR01 CA097061-03/CA/NCI NIH HHS/United StatesR01CA97061/CA/NCI NIH HHS/United StatesResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.EnglandChemistry & biologyChem Biol. 2004 Nov;11(11):1495-503.