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Nanopore Sequencing

Overview of attention for book
Cover of 'Nanopore Sequencing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Current State of Nanopore Sequencing
  3. Altmetric Badge
    Chapter 2 Hybrid Genome Assembly of Short and Long Reads in Galaxy
  4. Altmetric Badge
    Chapter 3 Microbial Genome Sequencing and Assembly Using Nanopore Sequencers
  5. Altmetric Badge
    Chapter 4 De Novo Genome Assembly of Japanese Black Cattle as Model of an Economically Relevant Animal
  6. Altmetric Badge
    Chapter 5 How to Sequence and Assemble Plant Genomes
  7. Altmetric Badge
    Chapter 6 Detection of DNA Modification Using Nanopore Sequencers
  8. Altmetric Badge
    Chapter 7 Ultralow-Input Genome Library Preparation for Nanopore Sequencing with Droplet MDA
  9. Altmetric Badge
    Chapter 8 The Method of Eliminating the Wolbachia Endosymbiont Genomes from Insect Samples Prior to a Long-Read Sequencing
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    Chapter 9 A Nanopore Sequencing Course for Graduate School Curriculum
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    Chapter 10 A Guide to Sequencing for Long Repetitive Regions
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    Chapter 11 Analysis of Tandem Repeat Expansions Using Long DNA Reads.
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    Chapter 12 Finding Rearrangements in Nanopore DNA Reads with LAST and dnarrange.
  14. Altmetric Badge
    Chapter 13 Long-Read Whole-Genome Sequencing Using a Nanopore Sequencer and Detection of Structural Variants in Cancer Genomes.
  15. Altmetric Badge
    Chapter 14 Full-Length 16S rRNA Gene Analysis Using Long-Read Nanopore Sequencing for Rapid Identification of Bacteria from Clinical Specimens.
  16. Altmetric Badge
    Chapter 15 Nanopore Sequencing Data Analysis of 16S rRNA Genes Using the GenomeSync-GSTK System.
  17. Altmetric Badge
    Chapter 16 Genomic Epidemiological Analysis of Antimicrobial-Resistant Bacteria with Nanopore Sequencing.
  18. Altmetric Badge
    Chapter 17 Rapid and Comprehensive Identification of Nontuberculous Mycobacteria.
  19. Altmetric Badge
    Chapter 18 Long-Read Single-Cell Sequencing Using scCOLOR-seq.
  20. Altmetric Badge
    Chapter 19 Unfolding the Bacterial Transcriptome Landscape Using Oxford Nanopore Technology Direct RNA Sequencing.
  21. Altmetric Badge
    Chapter 20 Nanopore Direct RNA Sequencing of Monosome- and Polysome-Bound RNA.
  22. Altmetric Badge
    Chapter 21 RNA Modification Detection Using Nanopore Direct RNA Sequencing and nanoDoc2.
Attention for Chapter 16: Genomic Epidemiological Analysis of Antimicrobial-Resistant Bacteria with Nanopore Sequencing.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Chapter title
Genomic Epidemiological Analysis of Antimicrobial-Resistant Bacteria with Nanopore Sequencing.
Chapter number 16
Book title
Nanopore Sequencing
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2996-3_16
Pubmed ID
Book ISBNs
978-1-07-162995-6, 978-1-07-162996-3
Authors

Suzuki, Masato, Hashimoto, Yusuke, Hirabayashi, Aki, Yahara, Koji, Yoshida, Mitsunori, Fukano, Hanako, Hoshino, Yoshihiko, Shibayama, Keigo, Tomita, Haruyoshi

Abstract

Antimicrobial-resistant (AMR) bacterial infections caused by clinically important bacteria, including ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) and mycobacteria (Mycobacterium tuberculosis and nontuberculous mycobacteria), have become a global public health threat. Their epidemic and pandemic clones often accumulate useful accessory genes in their genomes, such as AMR genes (ARGs) and virulence factor genes (VFGs). This process is facilitated by horizontal gene transfer among microbial communities via mobile genetic elements (MGEs), such as plasmids and phages. Nanopore long-read sequencing allows easy and inexpensive analysis of complex bacterial genome structures, although some aspects of sequencing data calculation and genome analysis methods are not systematically understood. Here we describe the latest and most recommended experimental and bioinformatics methods available for the construction of complete bacterial genomes from nanopore sequencing data and the detection and classification of genotypes of bacterial chromosomes, ARGs, VFGs, plasmids, and other MGEs based on their genomic sequences for genomic epidemiological analysis of AMR bacteria.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Student > Postgraduate 1 13%
Unknown 6 75%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Unknown 6 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 July 2023.
All research outputs
#7,139,919
of 25,247,084 outputs
Outputs from Methods in molecular biology
#2,115
of 14,149 outputs
Outputs of similar age
#132,771
of 475,879 outputs
Outputs of similar age from Methods in molecular biology
#60
of 722 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 14,149 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 475,879 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 71% of its contemporaries.
We're also able to compare this research output to 722 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 91% of its contemporaries.