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Chromatin Accessibility

Overview of attention for book
Cover of 'Chromatin Accessibility'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Genome-Wide Mapping of Active Regulatory Elements Using ATAC-seq
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    Chapter 2 Mapping Nucleosome Location Using FS-Seq
  4. Altmetric Badge
    Chapter 3 Universal NicE-Seq: A Simple and Quick Method for Accessible Chromatin Detection in Fixed Cells
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    Chapter 4 Measuring Inaccessible Chromatin Genome-Wide Using Protect-seq
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    Chapter 5 Determination of the Chromatin Openness in Bacterial Genomes
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    Chapter 6 Profiling Chromatin Accessibility on Replicated DNA with repli-ATAC-Seq
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    Chapter 7 Analysis of Chromatin Interaction and Accessibility by Trac-Looping
  9. Altmetric Badge
    Chapter 8 Single-Molecule Mapping of Chromatin Accessibility Using NOMe-seq/dSMF
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    Chapter 9 ORE-Seq: Genome-Wide Absolute Occupancy Measurement by Restriction Enzyme Accessibilities
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    Chapter 10 Single-Cell Joint Profiling of Open Chromatin and Transcriptome by Paired-Seq
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    Chapter 11 Simultaneous Single-Cell Profiling of the Transcriptome and Accessible Chromatin Using SHARE-seq
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    Chapter 12 Simultaneous Measurement of DNA Methylation and Nucleosome Occupancy in Single Cells Using scNOMe-Seq
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    Chapter 13 Massively Parallel Profiling of Accessible Chromatin and Proteins with ASAP-Seq
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    Chapter 14 Concomitant Sequencing of Accessible Chromatin and Mitochondrial Genomes in Single Cells Using mtscATAC-Seq
  16. Altmetric Badge
    Chapter 15 ATAC-See: A Tn5 Transposase-Mediated Assay for Detection of Chromatin Accessibility with Imaging
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    Chapter 16 NicE-viewSeq: An Integrative Visualization and Genomics Method to Detect Accessible Chromatin in Fixed Cells
  18. Altmetric Badge
    Chapter 17 ATAC-seq Data Processing
  19. Altmetric Badge
    Chapter 18 Deep Learning on Chromatin Accessibility
Attention for Chapter 11: Simultaneous Single-Cell Profiling of the Transcriptome and Accessible Chromatin Using SHARE-seq
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Chapter title
Simultaneous Single-Cell Profiling of the Transcriptome and Accessible Chromatin Using SHARE-seq
Chapter number 11
Book title
Chromatin Accessibility
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2899-7_11
Pubmed ID
36807070
Book ISBNs
978-1-07-162898-0, 978-1-07-162899-7
Authors

Kim, Samuel H., Marinov, Georgi K., Bagdatli, S. Tansu, Higashino, Soon Il, Shipony, Zohar, Kundaje, Anshul, Greenleaf, William J., Kim, Samuel H, Marinov, Georgi K, Bagdatli, S Tansu, Greenleaf, William J

Abstract

The ability to analyze the transcriptomic and epigenomic states of individual single cells has in recent years transformed our ability to measure and understand biological processes. Recent advancements have focused on increasing sensitivity and throughput to provide richer and deeper biological insights at the cellular level. The next frontier is the development of multiomic methods capable of analyzing multiple features from the same cell, such as the simultaneous measurement of the transcriptome and the chromatin accessibility of candidate regulatory elements. In this chapter, we discuss and describe SHARE-seq (Simultaneous high-throughput ATAC, and RNA expression with sequencing) for carrying out simultaneous chromatin accessibility and transcriptome measurements in single cells, together with the experimental and analytical considerations for achieving optimal results.

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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.
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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 23 February 2023.
All research outputs
#14,627,139
of 23,415,749 outputs
Outputs from Methods in molecular biology
#4,322
of 13,324 outputs
Outputs of similar age
#193,655
of 429,922 outputs
Outputs of similar age from Methods in molecular biology
#103
of 408 outputs
Altmetric has tracked 23,415,749 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 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 64% 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 429,922 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 51% of its contemporaries.
We're also able to compare this research output to 408 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 69% of its contemporaries.

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