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Synthetic DNA

Overview of attention for book
Cover of 'Synthetic DNA'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Guide to Using STITCHER for Overlapping Assembly PCR Applications.
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    Chapter 2 Synthetic Gene Design Using Codon Optimization On-Line (COOL).
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    Chapter 3 Shuffle Optimizer: A Program to Optimize DNA Shuffling for Protein Engineering.
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    Chapter 4 Simple Cloning by Prolonged Overlap Extension-PCR with Application to the Preparation of Large-Size Random Gene Mutagenesis Library in Escherichia coli.
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    Chapter 5 Synthetic DNA
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    Chapter 6 BASIC: A Simple and Accurate Modular DNA Assembly Method.
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    Chapter 7 Enzymatic Synthesis of Single-Stranded Clonal Pure Oligonucleotides.
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    Chapter 8 Rapid Assembly of DNA via Ligase Cycling Reaction (LCR).
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    Chapter 9 PaperClip: A Simple Method for Flexible Multi-Part DNA Assembly.
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    Chapter 10 The Polymerase Step Reaction (PSR) Method for Gene and Library Synthesis.
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    Chapter 11 Clonetegration Using OSIP Plasmids: One-Step DNA Assembly and Site-Specific Genomic Integration in Bacteria.
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    Chapter 12 Generation of DNA Constructs Using the Golden GATEway Cloning Method.
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    Chapter 13 Synthetic DNA
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    Chapter 14 Efficient Assembly of DNA Using Yeast Homologous Recombination (YHR).
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    Chapter 15 Simultaneous Removal of Multiple DNA Segments by Polymerase Chain Reactions.
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    Chapter 16 Synthetic DNA
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    Chapter 17 Immobilized MutS-Mediated Error Removal of Microchip-Synthesized DNA.
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    Chapter 18 Selection of Error-Less Synthetic Genes in Yeast.
Attention for Chapter 17: Immobilized MutS-Mediated Error Removal of Microchip-Synthesized DNA.
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Chapter title
Immobilized MutS-Mediated Error Removal of Microchip-Synthesized DNA.
Chapter number 17
Book title
Synthetic DNA
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6343-0_17
Pubmed ID
Book ISBNs
978-1-4939-6341-6, 978-1-4939-6343-0
Authors

Wen Wan, Dongmei Wang, Xiaolian Gao, Jiong Hong

Editors

Randall A. Hughes

Abstract

Applications of microchip-synthesized oligonucleotides for de novo gene synthesis are limited primarily by their high error rates. The mismatch binding protein MutS, which can specifically recognize and bind to mismatches, is one of the cheapest tools for error correction of synthetic DNA. Here, we describe a protocol for removing errors in microchip-synthesized oligonucleotides and for the assembly of DNA segments using these oligonucleotides. This protocol can also be used in traditional de novo gene DNA synthesis.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 30%
Student > Ph. D. Student 10 20%
Student > Master 7 14%
Student > Bachelor 6 12%
Student > Postgraduate 2 4%
Other 3 6%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 34%
Agricultural and Biological Sciences 12 24%
Chemistry 4 8%
Engineering 2 4%
Medicine and Dentistry 1 2%
Other 3 6%
Unknown 11 22%

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 26 October 2016.
All research outputs
#14,294,417
of 17,908,535 outputs
Outputs from Methods in molecular biology
#5,265
of 10,294 outputs
Outputs of similar age
#220,472
of 302,644 outputs
Outputs of similar age from Methods in molecular biology
#27
of 52 outputs
Altmetric has tracked 17,908,535 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,294 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 302,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.