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Plant Genomics

Overview of attention for book
Cover of 'Plant Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 CRISPR/Cas-Mediated In Planta Gene Targeting
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    Chapter 2 User Guide for the LORE1 Insertion Mutant Resource
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    Chapter 3 Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
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    Chapter 4 The Generation of Doubled Haploid Lines for QTL Mapping
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    Chapter 5 Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
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    Chapter 6 Circular Chromosome Conformation Capture in Plants
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    Chapter 7 Genome-Wide Profiling of Histone Modifications and Histone Variants in Arabidopsis thaliana and Marchantia polymorpha
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    Chapter 8 Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
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    Chapter 9 Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues
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    Chapter 10 Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions
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    Chapter 11 Large-Scale Phenotyping of Root Traits in the Model Legume Lotus japonicus
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    Chapter 12 Long-Term Confocal Imaging of Arabidopsis thaliana Roots for Simultaneous Quantification of Root Growth and Fluorescent Signals
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    Chapter 13 Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
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    Chapter 14 Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid
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    Chapter 15 Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry
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    Chapter 16 Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
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    Chapter 17 Studying Protein–Protein Interactions In Planta Using Advanced Fluorescence Microscopy
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    Chapter 18 Chemiluminescence-Based Detection of Peptide Activity and Peptide-Receptor Binding in Plants
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    Chapter 19 Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
Attention for Chapter 5: Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
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Chapter title
Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
Chapter number 5
Book title
Plant Genomics
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-7003-2_5
Pubmed ID
Book ISBNs
978-1-4939-7001-8, 978-1-4939-7003-2
Authors

Hagmann, Jörg, Becker, Claude, Jörg Hagmann, Claude Becker

Editors

Wolfgang Busch

Abstract

DNA methylation is one of the most prominent epigenetic marks and is particularly complex in plant genomes. Whole-genome bisulfite sequencing (WGBS) using short reads has become the standard tool to study genome-wide patterns of DNA methylation. The goal of the present protocol is to enable readers to perform WGBS on both the wet lab and the computational side. We briefly outline important steps in bisulfite library preparation, then focus on the different aspects of DNA methylation analysis, from read mapping to identifying biologically relevant differential methylation between different samples.

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X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 55%
Other 2 18%
Lecturer 1 9%
Student > Bachelor 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 2 18%
Nursing and Health Professions 1 9%
Environmental Science 1 9%
Unknown 1 9%
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 26 April 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from Methods in molecular biology
#7,935
of 13,137 outputs
Outputs of similar age
#235,192
of 309,748 outputs
Outputs of similar age from Methods in molecular biology
#170
of 264 outputs
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We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.