Journal
CHEMISTRY & BIOLOGY
Volume 11, Issue 11, Pages 1495-1503Publisher
CELL PRESS
DOI: 10.1016/j.chembiol.2004.08.026
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Funding
- NCI NIH HHS [R01 CA097061-01, R01 CA097061-02, R01CA97061, R01 CA097061-03] Funding Source: Medline
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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.
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