Synthetic Metabolic Pathways : Methods and Protocols /
Autor Corporativo: | |
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Otros Autores: | , |
Formato: | eBook |
Lenguaje: | English |
Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2018.
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Edición: | 1st ed. 2018. |
Colección: | Methods in Molecular Biology,
1671 |
Materias: |
Tabla de Contenidos:
- Parts characterization for tunable protein expression
- Enzyme nicotinamide cofactor specificity reversal guided by automated structural analysis and library design
- Bacterial genome editing strategy for control of transcription and protein stability
- An Automated Pipeline for Engineering Many-Enzyme Pathways: Computational Sequence Design, Pathway Expression-Flux Mapping, and Scalable Pathway Optimization
- Computational Approaches on Stoichiometric and Kinetic Modeling for Efficient Strain Design
- Extended Metabolic Space Modeling
- Computational Methods to Assess the Production
- Designing and Implementing Algorithmic DNA Assembly Pipelines for Multi-gene Systems
- An adaptive Laboratory Evolution Method to Accelerate Autotrophic Metabolism
- CRISPR-Cas9 toolkit for Actinomycete Genome Editing
- Assembly and Multiplex Genome Integration of Metabolic Pathways in Yeast using CasEMBLR
- A modified Gibson assembly method for cloning large DNA fragments with high GC contents
- Coupling Yeast Golden Gate and VEGAS for efficient assembly of the violacein pathway in Saccharomyces cerevisiae
- Multi-capillary Column Ion Mobility Spectrometry of Volatile Metabolites For Phenotyping Of Microorganisms
- Selection of Highly Expressed Gene Variants in Escherichia coli using Translationally-coupled Antibiotic Selection Markers
- Design, Engineering, and Characterization Of Prokaryotic Ligand-binding Transcriptional Activators as Biosensors in Yeast
- A Capture-SELEX Strategy for Multiplexed Selection of RNA Aptamers against Small Molecules
- High-throughput Microfluidics for the Screening Of Yeast Libraries
- Growth-Coupled Carotenoids Production Using Adaptive Laboratory Evolution
- Two scale 13C Metabolic Flux Analysis for Metabolic Engineering.