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Promoter Associated RNA

Overview of attention for book
Cover of 'Promoter Associated RNA'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ChIP-seq for the Identification of Functional Elements in the Human Genome
  3. Altmetric Badge
    Chapter 2 Identification of Candidate Functional Elements in the Genome from ChIP-seq Data
  4. Altmetric Badge
    Chapter 3 GRO-seq, A Tool for Identification of Transcripts Regulating Gene Expression
  5. Altmetric Badge
    Chapter 4 NanoCAGE: A Method for the Analysis of Coding and Noncoding 5′-Capped Transcriptomes
  6. Altmetric Badge
    Chapter 5 Deep Cap Analysis of Gene Expression (CAGE): Genome-Wide Identification of Promoters, Quantification of Their Activity, and Transcriptional Network Inference
  7. Altmetric Badge
    Chapter 6 Deep-RACE: Comprehensive Search for Novel ncRNAs Associated to a Specific Locus
  8. Altmetric Badge
    Chapter 7 In Silico Prediction of RNA Secondary Structure
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    Chapter 8 Computational Prediction of RNA-Protein Interactions
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    Chapter 9 Isolation of Nuclear RNA-Associated Protein Complexes
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    Chapter 10 Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility
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    Chapter 11 Targeting Promoter-Associated RNAs by siRNAs
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    Chapter 12 RNA-FISH to Study Regulatory RNA at the Site of Transcription
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    Chapter 13 Detection and Characterization of R Loop Structures
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    Chapter 14 Induction of Transcriptional Gene Silencing by Expression of shRNA Directed to c-Myc P2 Promoter in Hepatocellular Carcinoma by Tissue-Specific Virosomal Delivery
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    Chapter 15 Targeting Promoter-Associated Noncoding RNA In Vivo
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    Chapter 16 Manipulation of Promoter-Associated Noncoding RNAs in Mouse Early Embryos for Controlling Sequence-Specific Epigenetic Status
  18. Altmetric Badge
    Chapter 17 Erratum to: NanoCAGE: A Method for the Analysis of Coding and Noncoding 5′-Capped Transcriptomes
Attention for Chapter 6: Deep-RACE: Comprehensive Search for Novel ncRNAs Associated to a Specific Locus
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Chapter title
Deep-RACE: Comprehensive Search for Novel ncRNAs Associated to a Specific Locus
Chapter number 6
Book title
Promoter Associated RNA
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6716-2_6
Pubmed ID
28349424
Book ISBNs
978-1-4939-6714-8, 978-1-4939-6716-2
Authors

Pastori, Chiara, Velmeshev, Dmitry, Peschansky, Veronica Julia, Chiara Pastori, Dmitry Velmeshev, Veronica Julia Peschansky

Editors

Sara Napoli

Abstract

Deep-RACE (or RACEseq) is a recently described method (Olivarius et al. BioTechniques 46(2):130-132, 2009) that applies next-generation sequencing to the Rapid Amplification of cDNA End (RACE) protocol to define the 5' and 3' ends of RNA transcripts. Conventional mapping of 5' and 3' ends is achieved by manually cloning the PCR product of RACE followed by Sanger sequencing; this process can become costly and time-consuming when investigating multiple transcripts. High-throughput sequencing of the RACE products streamlines this process by eliminating the need to manually cut bands from an agarose gel and to clone each product individually. Importantly, in addition to these advantages, next-generation sequencing can detect low abundance fragments that would be difficult to extract from gel and clone for Sanger sequencing. For these reasons, Deep-RACE is an ideal protocol for the comprehensive study of noncoding transcripts from both intergenic regions of the genome and from within the loci of protein coding genes.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 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 %
Student > Postgraduate 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Biochemistry, Genetics and Molecular Biology 1 25%
Medicine and Dentistry 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 April 2017.
All research outputs
#14,056,410
of 22,962,258 outputs
Outputs from Methods in molecular biology
#3,955
of 13,136 outputs
Outputs of similar age
#167,268
of 308,511 outputs
Outputs of similar age from Methods in molecular biology
#64
of 303 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% 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 308,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.

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