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Program-Guided Design of High-Throughput Enzyme Screening Experiments and Automated Data Analysis/Evaluation
Mark Dörr1, Uwe T Bornscheuer2
1Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, Greifswald University, Felix-Hausdorff-Str. 4, 17487, Greifswald, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|November 1, 2017
Summary
The LARA software suite guides high-throughput screening experiments. This guide details process planning, data analysis, and visualization for LARA users.
Area of Science:
- * Scientific software development
- * High-throughput screening methodologies
Background:
- * Manual and automated high-throughput screening (HTS) are crucial for drug discovery and biological research.
- * Efficient data management and analysis are essential for HTS success.
Purpose of the Study:
- * To provide a comprehensive guide for utilizing the open-source LARA software suite.
- * To demonstrate the application of LARA in guiding HTS experiments from planning to visualization.
Main Methods:
- * Step-by-step explanation of LARA's functionalities for process planning.
- * Detailed instructions on data reading and analysis within the LARA framework.
- * Guidance on data visualization techniques using LARA.
Main Results:
- * Successful application of LARA for guiding a simulated HTS experiment.
- * Demonstrated capability of LARA in handling complex experimental workflows.
- * Effective data processing and visualization achieved using LARA.
Conclusions:
- * LARA is a versatile open-source tool for managing HTS experiments.
- * The provided guide facilitates the adoption and effective use of LARA.
- * LARA enhances efficiency in HTS data analysis and interpretation.
