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Information Management Systems for Molecular Biology Todd
M. Smith, Dave Campbell, Roberta Connelly,
Andrew Leonard, The increased need for data management is partly due to institutional changes. Many institutions have been able to economize by establishing core facilities which offer laboratory services to researchers on a per sample or project basis. Core facilities are cost-effective because they provide several researchers with access to expensive equipment and skilled personnel. Because these core facilities handle a variety of data types and a large number of samples from multiple sources, their information management needs provide a worthwhile model for laboratory information management systems (LIMS). LIMS are collections of software, communication devices, and computers that acquire, store, analyze, and present data and information about laboratory samples and their processing. LIMS centralize data storage, automate data analysis, and provide quality assurance reports for process monitoring. The central component of a LIMS is a database with software interfaces for entering, viewing, and processing information. The level of complexity needed in a LIMS depends on factors such as the mission of the laboratory, the number of samples to be processed, analysis requirements, and workflow complexity. LIMS development presents many challenges and may take years to complete. Most labs have no need for a custom LIMS and lack the wherewithal to create one, and thus will benefit from commercial LIMS The general features of LIMS will be presented along with case studies of Geospiza's Finch-Suite LIMS solution illustrating how a commercially available software system can be used to meet the information management needs of DNA sequencing facilities. Association of Biomolecular Resource Facilities Conference, 2001 |
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