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Yeast Genetics

Overview of attention for book
Cover of 'Yeast Genetics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Yeast Transformation by the LiAc/SS Carrier DNA/PEG Method.
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    Chapter 2 Tetrad, random spore, and molecular analysis of meiotic segregation and recombination.
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    Chapter 3 PCR Mutagenesis and Gap Repair in Yeast
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    Chapter 4 PCR-Mediated Epitope Tagging of Genes in Yeast.
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    Chapter 5 Manipulating the yeast genome: deletion, mutation, and tagging by PCR.
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    Chapter 6 Preparation of yeast cells for live-cell imaging and indirect immunofluorescence.
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    Chapter 7 Single yeast cell imaging.
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    Chapter 8 Microfluidic platforms for generating dynamic environmental perturbations to study the responses of single yeast cells.
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    Chapter 9 Using Two-Hybrid Interactions to Identify Separation-of-Function Mutations.
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    Chapter 10 Synthetic Genetic Array Analysis for Global Mapping of Genetic Networks in Yeast
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    Chapter 11 Chemical genetic and chemogenomic analysis in yeast.
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    Chapter 12 Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.
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    Chapter 13 Detection of Short-Range Chromatin Interactions by Chromosome Conformation Capture (3C) in Yeast.
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    Chapter 14 Chromosome Conformation Capture (3C) of Tandem Arrays in Yeast.
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    Chapter 15 Global Analysis of Transcription Factor-Binding Sites in Yeast Using ChIP-Seq.
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    Chapter 16 High-density tiling microarray analysis of the full transcriptional activity of yeast.
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    Chapter 17 Analysis of Silencing in Saccharomyces cerevisiae.
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    Chapter 18 A User's Guide to the Ribosomal DNA in Saccharomyces cerevisiae.
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    Chapter 19 Two-dimensional agarose gel electrophoresis for analysis of DNA replication.
  21. Altmetric Badge
    Chapter 20 Replicative life span analysis in budding yeast.
  22. Altmetric Badge
    Chapter 21 Metabolomic and lipidomic analyses of chronologically aging yeast.
Attention for Chapter 5: Manipulating the yeast genome: deletion, mutation, and tagging by PCR.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 X user
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3 patents

Citations

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19 Dimensions

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242 Mendeley
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Chapter title
Manipulating the yeast genome: deletion, mutation, and tagging by PCR.
Chapter number 5
Book title
Yeast Genetics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1363-3_5
Pubmed ID
Book ISBNs
978-1-4939-1362-6, 978-1-4939-1363-3
Authors

Jennifer M Gardner, Sue L Jaspersen, Jennifer M. Gardner, Sue L. Jaspersen, Gardner, Jennifer M., Jaspersen, Sue L.

Abstract

Saccharomyces cerevisiae is an ideal model eukaryotic system for the systematic analysis of gene function due to the ease and precision with which its genome can be manipulated. The ability of budding yeast to undergo efficient homologous recombination with short stretches of sequence homology has led to an explosion of PCR-based methods to delete and mutate yeast genes and to create fusions to epitope tags and fluorescent proteins. Here, we describe commonly used methods to generate gene deletions, to integrate mutated versions of a gene into the yeast genome, and to construct N- and C-terminal gene fusions. Using a high-efficiency yeast transformation protocol, DNA fragments with as little as 40 bp of homology can accurately target integration into a particular region of the yeast genome.

X Demographics

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 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 <1%
Spain 1 <1%
Unknown 240 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 22%
Student > Bachelor 40 17%
Student > Master 30 12%
Researcher 27 11%
Student > Doctoral Student 12 5%
Other 27 11%
Unknown 53 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 124 51%
Agricultural and Biological Sciences 35 14%
Chemistry 10 4%
Immunology and Microbiology 4 2%
Environmental Science 3 1%
Other 10 4%
Unknown 56 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 December 2022.
All research outputs
#3,057,841
of 23,498,099 outputs
Outputs from Methods in molecular biology
#626
of 13,368 outputs
Outputs of similar age
#36,640
of 308,917 outputs
Outputs of similar age from Methods in molecular biology
#29
of 587 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% of its peers.
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 308,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 587 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.