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Polyadenylation in Plants

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Cover of 'Polyadenylation in Plants'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Analysis of Plant Polyadenylation Signals
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    Chapter 2 Prediction of Plant mRNA Polyadenylation Sites
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    Chapter 3 Extraction of Poly(A) Sites from Large-Scale RNA-seq Data.
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    Chapter 4 Poly(A)-Tag Deep Sequencing Data Processing to Extract Poly(A) Sites
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    Chapter 5 Analysis of Poly(A) Site Choice Using a Java-Based Clustering Algorithm
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    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.
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    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
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    Chapter 10 Detection of Disulfide Linkage by Chemical Derivatization and Mass Spectrometry
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    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
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    Chapter 14 Genome-Wide Determination of Poly(A) Site Choice in Plants
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    Chapter 15 DNA/RNA Hybrid Primer Mediated Poly(A) Tag Library Construction for Illumina Sequencing
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    Chapter 16 Poly(A) Tag Library Construction from 10 ng Total RNA.
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    Chapter 17 A Rapid, Simple, and Inexpensive Method for the Preparation of Strand-Specific RNA-Seq Libraries
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    Chapter 18 Genome-Wide Analysis of Distribution of RNA Polymerase II Isoforms Using ChIP-Seq.
Attention for Chapter 14: Genome-Wide Determination of Poly(A) Site Choice in Plants
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Chapter title
Genome-Wide Determination of Poly(A) Site Choice in Plants
Chapter number 14
Book title
Polyadenylation in Plants
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2175-1_14
Pubmed ID
Book ISBNs
978-1-4939-2174-4, 978-1-4939-2175-1
Authors

Pratap Kumar Pati, Liuyin Ma, Arthur G. Hunt

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 44%
Student > Ph. D. Student 3 33%
Professor > Associate Professor 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 78%
Computer Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%