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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.
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    Chapter 20 Replicative life span analysis in budding yeast.
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    Chapter 21 Metabolomic and lipidomic analyses of chronologically aging yeast.
Attention for Chapter 16: High-density tiling microarray analysis of the full transcriptional activity of yeast.
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Chapter title
High-density tiling microarray analysis of the full transcriptional activity of yeast.
Chapter number 16
Book title
Yeast Genetics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1363-3_16
Pubmed ID
Book ISBNs
978-1-4939-1362-6, 978-1-4939-1363-3
Authors

Lior David, Sandra Clauder-Münster, Lars M Steinmetz, Lars M. Steinmetz, David, Lior, Clauder-Münster, Sandra, Steinmetz, Lars M.

Abstract

Understanding the relationship between DNA sequence variation and phenotypic variation in complex or quantitative traits is one of the major challenges in modern biology. We are witnessing a deluge of DNA sequence information and association studies of genetic polymorphisms with phenotypes of interest in families and populations. In addition, it has become clear that large portions of eukaryotic genomes beyond protein-coding genes are transcribed, generating numerous noncoding RNA (ncRNA) molecules whose functions remain mostly unknown.DNA oligonucleotide microarrays constitute a powerful technology for studying the expression of genes in different organisms. The Saccharomyces cerevisiae tiling array presents a significant advance over previous array-based platforms. It has a high density of overlapping probes that start on average every 8 bp along each strand of the genome, enabling precise definition of transcript structure. Furthermore, the array includes probes specific for the polymorphic positions of another, distantly related yeast strain, allowing accurate measurement of allele-specific expression in a hybrid of the two strains. This technology thus allows high-resolution, quantitative, strand- and allele-specific measurements of transcription from a full eukaryotic genome. In this chapter, we describe the methods for extracting RNA, synthesizing first-strand cDNA, fragmenting, and labeling of samples for hybridization to the tiling array. Combining genome-wide information on variation in DNA sequence with variation in transcript structure and levels promises to increase our understanding of the genotype-to-phenotype relationship.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Postgraduate 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 2 40%
Unknown 1 20%
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 13 September 2014.
All research outputs
#15,651,328
of 23,262,131 outputs
Outputs from Methods in molecular biology
#5,463
of 13,319 outputs
Outputs of similar age
#192,569
of 307,642 outputs
Outputs of similar age from Methods in molecular biology
#199
of 591 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.