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Bacterial Chromatin

Overview of attention for book
Cover of 'Bacterial Chromatin'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Determination of the 3D Genome Organization of Bacteria Using Hi-C
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    Chapter 2 Processing and Analysis of Hi-C Data on Bacteria
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    Chapter 3 GeF-seq: A Simple Procedure for Base Pair Resolution ChIP-seq
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    Chapter 4 Genomic SELEX Screening of Regulatory Targets of Escherichia coli Transcription Factors
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    Chapter 5 Modular Assembly of Synthetic Secondary Chromosomes
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    Chapter 6 High-Resolution Characterization of DNA/Protein Complexes in Living Bacteria
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    Chapter 7 Imaging of Transcription and Replication in the Bacterial Chromosome with Multicolor Three-Dimensional Superresolution Structured Illumination Microscopy
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    Chapter 8 Genetic Approaches to Study the Interplay Between Transcription and Nucleoid-Associated Proteins in Escherichia coli
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    Chapter 9 Atomic Force Microscopy Imaging and Analysis of Prokaryotic Genome Organization
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    Chapter 10 Dynamic Light Scattering of DNA-Ligand Complexes
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    Chapter 11 Microscale Thermophoresis Analysis of Chromatin Interactions
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    Chapter 12 Quantitative Determination of DNA Bridging Efficiency of Chromatin Proteins
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    Chapter 13 Approaches for Determining DNA Persistence Length Using Atomic Force Microscopy
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    Chapter 14 Quantitation of DNA-Binding Affinity Using Tethered Particle Motion
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    Chapter 15 Observing Bacterial Chromatin Protein-DNA Interactions by Combining DNA Flow-Stretching with Single-Molecule Imaging
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    Chapter 16 Unraveling the Biophysical Properties of Chromatin Proteins and DNA Using Acoustic Force Spectroscopy
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    Chapter 17 Unraveling DNA Organization with Single-Molecule Force Spectroscopy Using Magnetic Tweezers
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    Chapter 18 In Vitro Transcription Assay to Quantify Effects of H-NS Filaments on RNA Chain Elongation by RNA Polymerase
  20. Altmetric Badge
    Chapter 19 Deciphering 3D Organization of Chromosomes Using Hi-C Data
  21. Altmetric Badge
    Chapter 20 Molecular Dynamics Simulation of a Feather-Boa Model of a Bacterial Chromosome
Attention for Chapter 1: Determination of the 3D Genome Organization of Bacteria Using Hi-C
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  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Chapter title
Determination of the 3D Genome Organization of Bacteria Using Hi-C
Chapter number 1
Book title
Bacterial Chromatin
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8675-0_1
Pubmed ID
Book ISBNs
978-1-4939-8674-3, 978-1-4939-8675-0
Authors

Frédéric G. Crémazy, Fatema-Zahra M. Rashid, James R. Haycocks, Lisa E. Lamberte, David C. Grainger, Remus T. Dame, Crémazy, Frédéric G., Rashid, Fatema-Zahra M., Haycocks, James R., Lamberte, Lisa E., Grainger, David C., Dame, Remus T.

Abstract

The spatial organization of genomes is based on their hierarchical compartmentalization in topological domains. There is growing evidence that bacterial genomes are organized into insulated domains similar to the Topologically Associating Domains (TADs) detected in eukaryotic cells. Chromosome conformation capture (3C) technologies are used to analyze in vivo DNA proximity based on ligation of distal DNA segments crossed-linked by bridging proteins. By combining 3C and high-throughput sequencing, the Hi-C method reveals genome-wide interactions within topological domains and global genome structure as a whole. This chapter provides detailed guidelines for the preparation of Hi-C sequencing libraries for bacteria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Bachelor 6 19%
Student > Master 5 16%
Student > Ph. D. Student 5 16%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 2 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 50%
Agricultural and Biological Sciences 9 28%
Immunology and Microbiology 3 9%
Medicine and Dentistry 1 3%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 August 2018.
All research outputs
#5,873,771
of 23,313,051 outputs
Outputs from Methods in molecular biology
#1,647
of 13,318 outputs
Outputs of similar age
#99,671
of 331,115 outputs
Outputs of similar age from Methods in molecular biology
#18
of 247 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,318 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 331,115 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 69% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.