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Preface. Bacterial pangenomics.

Overview of attention for book
Cover of 'Preface. Bacterial pangenomics.'

Table of Contents

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    Book Overview
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    Chapter 1 Pulsed Field Gel Electrophoresis and Genome Size Estimates
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    Chapter 2 Comparative analyses of extrachromosomal bacterial replicons, identification of chromids, and experimental evaluation of their indispensability.
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    Chapter 3 Choice of Next-Generation Sequencing Pipelines
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    Chapter 4 The pyrosequencing protocol for bacterial genomes.
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    Chapter 5 Bacterial Metabarcoding by 16S rRNA Gene Ion Torrent Amplicon Sequencing.
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    Chapter 6 The illumina-solexa sequencing protocol for bacterial genomes.
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    Chapter 7 High-throughput phenomics.
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    Chapter 8 Comparative Analysis of Gene Expression: Uncovering Expression Conservation and Divergence Between Salmonella enterica Serovar Typhimurium Strains LT2 and 14028S
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    Chapter 9 Raw sequence data and quality control.
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    Chapter 10 Methods for Assembling Reads and Producing Contigs
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    Chapter 11 Mapping Contigs Using CONTIGuator.
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    Chapter 12 Gene Calling and Bacterial Genome Annotation with BG7.
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    Chapter 13 Defining orthologs and pangenome size metrics.
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    Chapter 14 Robust Identification of Orthologues and Paralogues for Microbial Pan-Genomics Using GET_HOMOLOGUES: A Case Study of pIncA/C Plasmids.
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    Chapter 15 Genome-scale metabolic network reconstruction.
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    Chapter 16 From pangenome to panphenome and back.
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    Chapter 17 Genome-Wide Detection of Selection and Other Evolutionary Forces
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    Chapter 18 The integrated microbial genome resource of analysis.
  20. Altmetric Badge
    Chapter 19 Erratum to: Genome-Wide Detection of Selection and Other Evolutionary Forces
Attention for Chapter 2: Comparative analyses of extrachromosomal bacterial replicons, identification of chromids, and experimental evaluation of their indispensability.
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Chapter title
Comparative analyses of extrachromosomal bacterial replicons, identification of chromids, and experimental evaluation of their indispensability.
Chapter number 2
Book title
Bacterial Pangenomics
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1720-4_2
Pubmed ID
Book ISBNs
978-1-4939-1719-8, 978-1-4939-1720-4
Authors

Dziewit L, Bartosik D, Lukasz Dziewit, Dariusz Bartosik, Dziewit, Lukasz, Bartosik, Dariusz

Abstract

Bacterial genomic information can be divided between various replicons, including chromosomes, plasmids, and chromids (essential plasmid-like replicons with properties of both chromosomes and plasmids). Comparative analyses of bacterial plasmids, including homology searches, phylogenetic and phylogenomic analyses, as well as network construction for the characterization of their relationships, are good starting points for the identification of chromids. Chromids possess several chromosome-like genetic features (e.g., codon usage, GC content), but most significantly, they carry housekeeping genes, which make them indispensable for cell viability. However, it is important to confirm in silico predictions experimentally. The essential nature of a predicted chromid is usually verified by the application of a target-oriented replicon curing technique, based on the incompatibility phenomenon. Further tests examining growth in various media are used to distinguish secondary chromids from plasmids, and mutational analysis (e.g., using the yeast FLP/FRT recombination system) is employed to identify essential genes carried by particular chromids.

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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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 4 25%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Professor 1 6%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 50%
Biochemistry, Genetics and Molecular Biology 4 25%
Environmental Science 2 13%
Immunology and Microbiology 1 6%
Unknown 1 6%
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 26 October 2014.
All research outputs
#14,788,263
of 22,768,097 outputs
Outputs from Methods in molecular biology
#4,676
of 13,090 outputs
Outputs of similar age
#143,800
of 260,278 outputs
Outputs of similar age from Methods in molecular biology
#34
of 135 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 260,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 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 70% of its contemporaries.