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RNA Abundance Analysis

Overview of attention for book
Cover of 'RNA Abundance Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 SuperSAGE: Powerful Serial Analysis of Gene Expression
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    Chapter 2 Northern Blot Analysis for Expression Profiling of mRNAs and Small RNAs
  4. Altmetric Badge
    Chapter 3 Construction of RNA-Seq Libraries from Large and Microscopic Tissues for the Illumina Sequencing Platform
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    Chapter 4 Strand-Specific RNA-seq Applied to Malaria Samples
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    Chapter 5 RNA In Situ Hybridization in Arabidopsis
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    Chapter 6 Laser Microdissection of Cells and Isolation of High-Quality RNA After Cryosectioning
  8. Altmetric Badge
    Chapter 7 Detection and Quantification of Alternative Splicing Variants Using RNA-seq
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    Chapter 8 Separating and Analyzing Sulfur-Containing RNAs with Organomercury Gels
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    Chapter 9 RNAse Mapping and Quantitation of RNA Isoforms
  11. Altmetric Badge
    Chapter 10 Detection and Quantification of Viral and Satellite RNAs in Plant Hosts
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    Chapter 11 In Situ Detection of Mature miRNAs in Plants Using LNA-Modified DNA Probes
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    Chapter 12 Small RNA Isolation and Library Construction for Expression Profiling of Small RNAs from Neurospora and Fusarium Using Illumina High-Throughput Deep Sequencing
  14. Altmetric Badge
    Chapter 13 Isolation and Profiling of Protein-Associated Small RNAs
  15. Altmetric Badge
    Chapter 14 New Virus Discovery by Deep Sequencing of Small RNAs.
  16. Altmetric Badge
    Chapter 15 Global Assembly of Expressed Sequence Tags
  17. Altmetric Badge
    Chapter 16 RNA Abundance Analysis
  18. Altmetric Badge
    Chapter 17 RNA Abundance Analysis
Attention for Chapter 7: Detection and Quantification of Alternative Splicing Variants Using RNA-seq
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Chapter title
Detection and Quantification of Alternative Splicing Variants Using RNA-seq
Chapter number 7
Book title
RNA Abundance Analysis
Published in
Methods in molecular biology, April 2012
DOI 10.1007/978-1-61779-839-9_7
Pubmed ID
22589127
Book ISBNs
978-1-61779-838-2, 978-1-61779-839-9
Authors

Douglas W. Bryant Jr, Henry D. Priest, Todd C. Mockler, Douglas W. Bryant

Editors

Hailing Jin, Walter Gassmann

Abstract

Next-generation sequencing has enabled genome-wide studies of alternative pre-mRNA splicing, allowing for empirical determination, characterization, and quantification of the expressed RNAs in a sample in toto. As a result, RNA sequencing (RNA-seq) has shown tremendous power to drive biological discoveries. At the same time, RNA-seq has created novel challenges that necessitate the development of increasingly sophisticated computational approaches and bioinformatic tools. In addition to the analysis of massive datasets, these tools also need to facilitate questions and analytical approaches driven by such rich data. HTS and RNA-seq are still in a stage of very rapid evolution and are, therefore, only introduced in general terms. This chapter mainly focuses on the methods for discovery, detection, and quantification of alternatively spliced transcript variants.

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

Geographical breakdown

Country Count As %
United States 5 7%
Finland 1 1%
Argentina 1 1%
Unknown 60 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 37%
Student > Ph. D. Student 13 19%
Student > Doctoral Student 6 9%
Student > Master 5 7%
Lecturer 4 6%
Other 12 18%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 57%
Biochemistry, Genetics and Molecular Biology 12 18%
Chemistry 4 6%
Medicine and Dentistry 3 4%
Mathematics 2 3%
Other 5 7%
Unknown 3 4%
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 07 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from Methods in molecular biology
#7,858
of 13,085 outputs
Outputs of similar age
#124,571
of 161,555 outputs
Outputs of similar age from Methods in molecular biology
#27
of 45 outputs
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So far Altmetric has tracked 13,085 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.

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