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Functional Genomics

Overview of attention for book
Cover of 'Functional Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Predicting RNA Structure with Vfold
  3. Altmetric Badge
    Chapter 2 RNA Function Prediction
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    Chapter 3 Computational Prediction of Novel miRNAs from Genome-Wide Data
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    Chapter 4 Protein Structure Modeling with MODELLER
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    Chapter 5 Protein Function Prediction
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    Chapter 6 Capturing Three-Dimensional Genome Organization in Individual Cells by Single-Cell Hi-C
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    Chapter 7 Genome-Wide Cell Type-Specific Mapping of In Vivo Chromatin Protein Binding Using an FLP-Inducible DamID System in Drosophila
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    Chapter 8 DNA Methylation Profiling Using Long-Read Single Molecule Real-Time Bisulfite Sequencing (SMRT-BS)
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    Chapter 9 Copy Number Variation Analysis by Droplet Digital PCR
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    Chapter 10 MicroScale Thermophoresis: A Rapid and Precise Method to Quantify Protein–Nucleic Acid Interactions in Solution
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    Chapter 11 Establishment of the CRISPR/Cas9 System for Targeted Gene Disruption and Gene Tagging
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    Chapter 12 Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy
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    Chapter 13 MicroRNA Expression Analysis Using Small RNA Sequencing Discovery and RT-qPCR-Based Validation
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    Chapter 14 Using FirePlex™ Particle Technology for Multiplex MicroRNA Profiling Without RNA Purification
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    Chapter 15 Multiplex Real-Time PCR Using Encoded Microparticles for MicroRNA Profiling
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    Chapter 16 Optimized Whole Transcriptome Profiling of Motor Axons
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    Chapter 17 2D-DIGE in Proteomics
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    Chapter 18 STAGE-Diging in Proteomics
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    Chapter 19 Protein Arrays I: Antibody Arrays
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    Chapter 20 Protein Arrays II: Antigen Arrays
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    Chapter 21 Protein Arrays III: Reverse-Phase Protein Arrays
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    Chapter 22 Isolation of Exosomes for the Purpose of Protein Cargo Analysis with the Use of Mass Spectrometry
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    Chapter 23 Virus-Induced Gene Silencing (VIGS) and Foreign Gene Expression in Pisum sativum L. Using the “One-Step” Bean pod mottle virus (BPMV) Viral Vector
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    Chapter 24 Re-expressing Epigenetically Silenced Genes by Inducing DNA Demethylation Through Targeting of Ten-Eleven Translocation 2 to Any Given Genomic Locus
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    Chapter 25 Knockdown of Rice microRNA166 by Short Tandem Target Mimic (STTM)
  27. Altmetric Badge
    Chapter 26 RNAi-Mediated Knockdown of Protein Expression
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    Chapter 27 Engineered Zinc Finger DNA-Binding Domains: Synthesis, Assessment of DNA-Binding Affinity, and Direct Protein Delivery to Mammalian Cells
  29. Altmetric Badge
    Chapter 28 Production, Purification, and Titration of First-Generation Adenovirus Vectors
Attention for Chapter 8: DNA Methylation Profiling Using Long-Read Single Molecule Real-Time Bisulfite Sequencing (SMRT-BS)
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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3 Wikipedia pages

Citations

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12 Dimensions

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22 Mendeley
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Chapter title
DNA Methylation Profiling Using Long-Read Single Molecule Real-Time Bisulfite Sequencing (SMRT-BS)
Chapter number 8
Book title
Functional Genomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7231-9_8
Pubmed ID
Book ISBNs
978-1-4939-7230-2, 978-1-4939-7231-9
Authors

Yao Yang, Stuart A. Scott, Yang, Yao, Scott, Stuart A.

Abstract

For the past two decades, bisulfite sequencing has been a widely used method for quantitative CpG methylation detection of genomic DNA. Coupled with PCR amplicon cloning, bisulfite Sanger sequencing allows for allele-specific CpG methylation assessment; however, its time-consuming protocol and inability to multiplex has recently been overcome by next-generation bisulfite sequencing techniques. Although high-throughput sequencing platforms have enabled greater accuracy in CpG methylation quantitation as a result of increased bisulfite sequencing depth, most common sequencing platforms generate reads that are similar in length to the typical bisulfite PCR size range (~300-500 bp). Using the Pacific Biosciences (PacBio) sequencing platform, we developed single molecule real-time bisulfite sequencing (SMRT-BS), which is an accurate targeted CpG methylation analysis method capable of a high degree of multiplexing and long read lengths. SMRT-BS is reproducible and was found to be concordant with other lower throughput quantitative CpG methylation methods. Moreover, the ability to sequence up to ~1.5-2.0 kb amplicons, when coupled with an optimized bisulfite-conversion protocol, allows for more thorough assessment of CpG islands and increases the capacity for studying the relationship between single nucleotide variants and allele-specific CpG methylation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 41%
Student > Ph. D. Student 3 14%
Professor > Associate Professor 3 14%
Student > Master 1 5%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Agricultural and Biological Sciences 3 14%
Immunology and Microbiology 2 9%
Neuroscience 2 9%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 7 32%
Attention Score in Context

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 27 February 2024.
All research outputs
#7,540,801
of 23,005,189 outputs
Outputs from Methods in molecular biology
#2,341
of 13,159 outputs
Outputs of similar age
#141,628
of 421,224 outputs
Outputs of similar age from Methods in molecular biology
#246
of 1,074 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 421,224 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 53% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.