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Yeast Metabolic Engineering

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Cover of 'Yeast Metabolic Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview on Selection Marker Genes for Transformation of Saccharomyces cerevisiae
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    Chapter 2 High-Efficiency Plasmid DNA Transformation in Yeast
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    Chapter 3 CasPER: A CRISPR/Cas9-Based Method for Directed Evolution in Genomic Loci in Saccharomyces cerevisiae
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    Chapter 4 Fluorescence-Activated Cell Sorting as a Tool for Recombinant Strain Screening
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    Chapter 5 Generation of Arming Yeasts with Active Proteins and Peptides via Cell Surface Display System: Cell Surface Engineering, Bio-Arming Technology
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    Chapter 6 Strains and Molecular Tools for Recombinant Protein Production in Pichia pastoris
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    Chapter 7 Competent Cell Preparation and Transformation of Pichia pastoris
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    Chapter 8 CRISPR/Cas9 Tool Kit for Efficient and Targeted Insertion/Deletion Mutagenesis of the Komagataella phaffii (Pichia pastoris) Genome
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    Chapter 9 Plasmid-Based Gene Knockout Strategy with Subsequent Marker Recycling in Pichia pastoris
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    Chapter 10 Engineering of Promoters for Gene Expression in Pichia pastoris
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    Chapter 11 Molecular Tools for Leveraging the Potential of the Acid-Tolerant Yeast Zygosaccharomyces bailii as Cell Factory
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    Chapter 12 Golden Gate Multigene Assembly Method for Yarrowia lipolytica
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    Chapter 13 A Universal Gene Expression System for Novel Yeast Species
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    Chapter 14 Dynamic Feeding for Pichia pastoris
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    Chapter 15 Automated Evolutionary Engineering of Yeasts
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    Chapter 16 Reconstruction of Genome-Scale Metabolic Model for Hansenula polymorpha Using RAVEN
Attention for Chapter 1: An Overview on Selection Marker Genes for Transformation of Saccharomyces cerevisiae
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Chapter title
An Overview on Selection Marker Genes for Transformation of Saccharomyces cerevisiae
Chapter number 1
Book title
Yeast Metabolic Engineering
Published by
Humana, New York, NY, July 2022
DOI 10.1007/978-1-0716-2399-2_1
Pubmed ID
Book ISBNs
978-1-07-162398-5, 978-1-07-162399-2
Authors

Siewers, Verena

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
United States 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 5 16%
Student > Master 4 13%
Student > Bachelor 4 13%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 38%
Biochemistry, Genetics and Molecular Biology 9 28%
Chemical Engineering 1 3%
Immunology and Microbiology 1 3%
Chemistry 1 3%
Other 1 3%
Unknown 7 22%