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Biotechnology LIMS

Biotechnology laboratories are faced with exponentially increasing amounts of data, stringent regulations, and pressures to accelerate drug discovery and time to market, all while decreasing research costs. Companies choose the Core LIMS in order to meet these challenges, while simultaneously increasing organization-wide communication, collaboration, and data integrity.

The Core system�s components have been designed to include a high level of configurability, which is important in biotechnology where new methods and equipment are incorporated into labs frequently. The Core LIMS speeds sample turnaround time through process automation and integration with instrumentation. It decreases errors from manual data transcription and increases efficiency through the elimination of duplicate data entry.

Biotechnology labs use the Core LIMS to collect, validate, archive, report, analyze, and manage their data. The system enables users to gather data generated in any of the company�s systems, and organize it within one electronic document management system. With one unified data repository, true project management across workflows can be realized, and multivariate data analysis is made possible. Potential targets can be identified efficiently and evaluated against other targets for optimal candidate discovery.

Benefits of the Core LIMS to Biotechnology Labs:

� Bioanalytical, in-vitro, and analytical development study management
Workflow management
Project management
Electronic document management
Environmental monitoring
Lot & batch management
Instrument integration for data collection automation
� Automatic results reduction & flagging
� Automatic alerts based on thresholds, authorization, publishing
� Integration with third party systems (ERP/HR/accounting etc.)
� Barcode, RFID compatible
� Customized automatic & ad hoc reporting
� Work allocation & scheduling to reduce bottlenecks
Worklist management
Sample management (login, registration integrity, life cycle tracking, etc.)
� Chain of custody
� Multivariate data analysis
� QA/QC
Inventory, storage management
SOP & protocol management
� Regulatory compliance
� Data security & integrity
Animal study management
Animal facility management