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Synthetic Biology

Overview of attention for book
Cover of 'Synthetic Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 What Is Synthetic Biology?
  3. Altmetric Badge
    Chapter 2 Gene Synthesis Method Based on Overlap Extension PCR and DNAWorks Program
  4. Altmetric Badge
    Chapter 3 BioBrick™ Assembly Using the In-Fusion PCR Cloning Kit
  5. Altmetric Badge
    Chapter 4 Overlap Extension PCR Cloning
  6. Altmetric Badge
    Chapter 5 One-Step Isothermal Assembly of DNA Fragments
  7. Altmetric Badge
    Chapter 6 Creation and Characterization of Component Libraries for Synthetic Biology
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    Chapter 7 In Vivo and In Vitro Characterization of σ 70 Constitutive Promoters by Real-Time PCR and Fluorescent Measurements
  9. Altmetric Badge
    Chapter 8 In Vivo Screening of Artificial Small RNAs for Silencing Endogenous Genes in Escherichia coli
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    Chapter 9 Construction and Engineering of Large Biochemical Pathways via DNA Assembler
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    Chapter 10 Assembly of Multi-gene Pathways and Combinatorial Pathway Libraries Through ePathBrick Vectors
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    Chapter 11 Tandem Recombineering by SLIC Cloning and Cre-LoxP Fusion to Generate Multigene Expression Constructs for Protein Complex Research
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    Chapter 12 Combinatorial DNA Assembly Using Golden Gate Cloning
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    Chapter 13 Construction of Synthetic Gene Circuits in the Escherichia coli Genome
  15. Altmetric Badge
    Chapter 14 Shuffling of DNA cassettes in a synthetic integron.
  16. Altmetric Badge
    Chapter 15 Systematic Methodology for the Development of Mathematical Models for Biological Processes
  17. Altmetric Badge
    Chapter 16 SOBOLHDMR: A General-Purpose Modeling Software
Attention for Chapter 14: Shuffling of DNA cassettes in a synthetic integron.
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Chapter title
Shuffling of DNA cassettes in a synthetic integron.
Chapter number 14
Book title
Synthetic Biology
Published in
Methods in molecular biology, September 2013
DOI 10.1007/978-1-62703-625-2_14
Pubmed ID
Book ISBNs
978-1-62703-624-5, 978-1-62703-625-2
Authors

Bikard D, Mazel D, David Bikard, Didier Mazel

Abstract

The complexity of even small gene networks makes them hardly amenable to rational design. Testing random combinations of genetic elements in a directed evolution procedure is thus of interest for many applications including metabolic engineering. Here we describe how the recombination machinery of class 1 integrons can be used to deliver and shuffle genetic elements at a chromosomal locus in E. coli.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Master 3 12%
Other 2 8%
Student > Ph. D. Student 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 9 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 32%
Biochemistry, Genetics and Molecular Biology 2 8%
Unspecified 1 4%
Environmental Science 1 4%
Immunology and Microbiology 1 4%
Other 2 8%
Unknown 10 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from Methods in molecular biology
#9,859
of 13,088 outputs
Outputs of similar age
#172,390
of 196,918 outputs
Outputs of similar age from Methods in molecular biology
#45
of 60 outputs
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So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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