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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
  8. Altmetric Badge
    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
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    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 6: RADPRE: A Computational Program for Identification of Differential mRNA Processing Including Alternative Polyadenylation
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  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Chapter title
RADPRE: A Computational Program for Identification of Differential mRNA Processing Including Alternative Polyadenylation
Chapter number 6
Book title
Polyadenylation in Plants
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2175-1_6
Pubmed ID
Book ISBNs
978-1-4939-2174-4, 978-1-4939-2175-1
Authors

Denghui Xing, Qingshun Quinn Li

Abstract

Genome-wide studies revealed the prevalence of multiple transcripts resulting from alternative polyadenylation (APA) of a single given gene in higher eukaryotes. Several studies in the past few years attempted to address how those APA events are regulated and what the biological consequences of those regulations are. Common to these efforts is the comparison of unbiased transcriptome data, either derived from whole-genome tiling array or next generation sequencing, to identify the specific APA events in a given condition. RADPRE (Ratio-based Analysis of Differential mRNA Processing and Expression) is an R program, developed to serve such a purpose using data from the whole-genome tilling array. RADPRE took a set of tilling array data as input, performed a series of calculation including a correction of the probe affinity variation, a hierarchy of statistical tests and an estimation of the false discovery rate (FDR) of the differentially processed genes (DPG). The result was an output of a few tabular files including DPG and their corresponding FDR. This chapter is written for scientists with limited programming experiences.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Professor 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Computer Science 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 December 2014.
All research outputs
#5,732,639
of 22,774,233 outputs
Outputs from Methods in molecular biology
#1,604
of 13,091 outputs
Outputs of similar age
#77,070
of 352,917 outputs
Outputs of similar age from Methods in molecular biology
#119
of 996 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,091 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 87% 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 352,917 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 78% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.