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Polyadenylation in Plants

Overview of attention for book
Cover of 'Polyadenylation in Plants'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Computational Analysis of Plant Polyadenylation Signals
  3. Altmetric Badge
    Chapter 2 Prediction of Plant mRNA Polyadenylation Sites
  4. Altmetric Badge
    Chapter 3 Extraction of Poly(A) Sites from Large-Scale RNA-seq Data.
  5. Altmetric Badge
    Chapter 4 Poly(A)-Tag Deep Sequencing Data Processing to Extract Poly(A) Sites
  6. Altmetric Badge
    Chapter 5 Analysis of Poly(A) Site Choice Using a Java-Based Clustering Algorithm
  7. Altmetric Badge
    Chapter 6 RADPRE: A Computational Program for Identification of Differential mRNA Processing Including Alternative Polyadenylation
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    Chapter 7 Characterization of plant polyadenylation complexes by using tandem affinity purification.
  9. Altmetric Badge
    Chapter 8 In vitro analysis of cleavage and polyadenylation in Arabidopsis.
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    Chapter 9 Production, Purification, and Assay of Recombinant Proteins for In Vitro Biochemical Analyses of the Plant Polyadenylation Complex
  11. Altmetric Badge
    Chapter 10 Detection of Disulfide Linkage by Chemical Derivatization and Mass Spectrometry
  12. Altmetric Badge
    Chapter 11 Transient Expression Using Agroinfiltration to Study Polyadenylation in Plants
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    Chapter 12 A 3′ RACE Protocol to Confirm Polyadenylation Sites
  14. Altmetric Badge
    Chapter 13 Phage Display Library Screening for Identification of Interacting Protein Partners
  15. Altmetric Badge
    Chapter 14 Genome-Wide Determination of Poly(A) Site Choice in Plants
  16. Altmetric Badge
    Chapter 15 DNA/RNA Hybrid Primer Mediated Poly(A) Tag Library Construction for Illumina Sequencing
  17. Altmetric Badge
    Chapter 16 Poly(A) Tag Library Construction from 10 ng Total RNA.
  18. Altmetric Badge
    Chapter 17 A Rapid, Simple, and Inexpensive Method for the Preparation of Strand-Specific RNA-Seq Libraries
  19. Altmetric Badge
    Chapter 18 Genome-Wide Analysis of Distribution of RNA Polymerase II Isoforms Using ChIP-Seq.
Attention for Chapter 18: Genome-Wide Analysis of Distribution of RNA Polymerase II Isoforms Using ChIP-Seq.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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4 tweeters
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1 Google+ user

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5 Mendeley
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Chapter title
Genome-Wide Analysis of Distribution of RNA Polymerase II Isoforms Using ChIP-Seq.
Chapter number 18
Book title
Polyadenylation in Plants
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2175-1_18
Pubmed ID
Book ISBNs
978-1-4939-2174-4, 978-1-4939-2175-1
Authors

Laura de Lorenzo, Lorenzo, Laura, Lorenzo, Laura de

Abstract

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a powerful technique for genome-wide profiling of DNA-binding proteins in vivo. ChIP has been used to study diverse nuclear processes such as transcription regulation, at specific loci as well as across the entire genome. In this report, a protocol is described for the application of ChIP to the genome-wide analysis of the distribution of different RNA polymerase II forms. The method makes use of the possibility to crosslink proteins to the DNA, to which they bind in vivo. Specific RNA-Pol II-DNA complexes can then be purified by immunoprecipitation using a specific antibody against the DNA-binding protein of interest, and the associated DNA fragments recovered and analyzed.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 20%
Norway 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 80%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Agricultural and Biological Sciences 2 40%
Computer Science 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 March 2015.
All research outputs
#8,670,488
of 16,639,069 outputs
Outputs from Methods in molecular biology
#2,067
of 9,638 outputs
Outputs of similar age
#114,393
of 310,826 outputs
Outputs of similar age from Methods in molecular biology
#161
of 883 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,638 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 78% 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 310,826 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 883 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.