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CpG Islands

Overview of attention for book
Cover of 'CpG Islands'

Table of Contents

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    Book Overview
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    Chapter 1 CpG Islands: A Historical Perspective
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    Chapter 2 Biochemical Identification of Nonmethylated DNA by BioCAP-Seq
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    Chapter 3 Prediction of CpG Islands as an Intrinsic Clustering Property Found in Many Eukaryotic DNA Sequences and Its Relation to DNA Methylation
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    Chapter 4 CpG Islands in Cancer: Heads, Tails, and Sides
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    Chapter 5 Infinium DNA Methylation Microarrays on Formalin-Fixed, Paraffin-Embedded Samples
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    Chapter 6 The Use of Methylation-Sensitive Multiplex Ligation-Dependent Probe Amplification for Quantification of Imprinted Methylation
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    Chapter 7 The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data
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    Chapter 8 Methylation-Sensitive Amplification Length Polymorphism (MS-AFLP) Microarrays for Epigenetic Analysis of Human Genomes
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    Chapter 9 Genome-Wide Profiling of DNA Methyltransferases in Mammalian Cells
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    Chapter 10 Experimental Design and Bioinformatic Analysis of DNA Methylation Data
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    Chapter 11 Assay for Transposase Accessible Chromatin (ATAC-Seq) to Chart the Open Chromatin Landscape of Human Pancreatic Islets
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    Chapter 12 Defining Regulatory Elements in the Human Genome Using Nucleosome Occupancy and Methylome Sequencing (NOMe-Seq)
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    Chapter 13 Genome-Wide Mapping of Protein–DNA Interactions on Nascent Chromatin
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    Chapter 14 Analysis of Chromatin Interactions Mediated by Specific Architectural Proteins in Drosophila Cells
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    Chapter 15 High-Throughput Single-Cell RNA Sequencing and Data Analysis
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    Chapter 16 Functional Insulator Scanning of CpG Islands to Identify Regulatory Regions of Promoters Using CRISPR
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    Chapter 17 An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics
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Title
CpG Islands
Published by
Humana Press, New York, NY, January 2018
DOI 10.1007/978-1-4939-7768-0
ISBNs
978-1-4939-7767-3, 978-1-4939-7768-0
Editors

Tanya Vavouri, Miguel A. Peinado

Twitter Demographics

The data shown below were collected from the profiles of 82 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Researcher 3 10%
Professor > Associate Professor 2 7%
Student > Master 2 7%
Other 1 3%
Other 3 10%
Unknown 16 53%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 2 7%
Unknown 16 53%