Data Management

K-Screen Database


KU-HTSL employs an in-house developed laboratory information management system (LIMS), K-Screen, for database management. K-Screen is a comprehensive, extensible, and user-friendly software package for high throughput screening data management, analysis, mining, and visualization.

K-Screen was developed based on the standard open source Linux/Apache/MySQL/PHP platform, utilizing a number of open source software programs,and the software itself is available at request to the public on the K-Screen Wiki website as open source software. K-Screen supports a diverse array of plate readers and has an automated statistical analysis routine.

Once a set of raw data is imported, K-Screen automatically performs statistical analysis and calculates z’ factors, medians of positive/negative controls and samples. Currently, activities are normalized using four methods: Percent of control (POC), Normalized percent inhibition (NPI), Z score, and Plate median normalization (PMN). Heat maps of all normalized data are generated. K-Screen fits the dose response data automatically to four-parameter Sigmoid or Brain-Cousen curves. It also allows manual adjustment of all curve parameters and labeling outliers. HTS applies a normalization method and accepts/rejects plates based on data quality. K-Screen also allows easy searching of PubChem, and is being actively used by KU-HTSL and its clients as their primary LIMS.

Further development of the K-Screen HTS LIMS system will continue to support KU-HTSL operations, and future developments include integration of more data analysis tools, better integration with PubChem, enhancements to dose-response curve fitting, and plate based quality control reportings.

Follow this link for a poster describing K-Screen in pdf format.