Abstract
The open source LARA software suite is designed for guiding manual or automated high-throughput screening experiments. Process planning, data reading, analysis, and visualization are herein explained in a step-by-step guide using exemplary dataset.
References
Romero PA, Arnold FH (2009) Exploring protein fitness landscapes by directed evolution. Nat Rev Mol Cell Biol 10:866–876
Hertzberg RP, Pope AJ (2000) High-throughput screening: new technology for the 21st century. Curr Opin Chem Biol 4:445–451
Goddard JP, Reymond JL (2004) Enzyme assays for high-throughput screening. Curr Opin Biotechnol 15:314–322
Bisswanger H (2014) Enzyme assays. Perspect Sci 1:41–55
Dörr M, Fibinger MPC, Last D et al (2016) Fully automatized high-throughput enzyme library screening using a robotic platform. Biotechnol Bioeng 113:1421–1432
Santos-Aberturas J, Dörr M, Waldo GS et al (2015) In-depth high-throughput screening of protein engineering libraries by split-GFP direct crude cell extract data normalization. Chem Biol 22:1406–1414
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Dörr, M., Bornscheuer, U.T. (2018). Program-Guided Design of High-Throughput Enzyme Screening Experiments and Automated Data Analysis/Evaluation. In: Bornscheuer, U., Höhne, M. (eds) Protein Engineering. Methods in Molecular Biology, vol 1685. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7366-8_16
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DOI: https://doi.org/10.1007/978-1-4939-7366-8_16
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Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-7364-4
Online ISBN: 978-1-4939-7366-8
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