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Preface. Bacterial pangenomics.

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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 11: Mapping Contigs Using CONTIGuator.
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Chapter title
Mapping Contigs Using CONTIGuator.
Chapter number 11
Book title
Bacterial Pangenomics
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1720-4_11
Pubmed ID
Book ISBNs
978-1-4939-1719-8, 978-1-4939-1720-4
Authors

Galardini M, Mengoni A, Bazzicalupo M, Marco Galardini, Alessio Mengoni, Marco Bazzicalupo, Galardini, Marco, Mengoni, Alessio, Bazzicalupo, Marco

Abstract

Obtaining bacterial genomic sequences has become a routine task in today's biology. The emergence of the comparative genomics approach has led to an increasing number of bacterial species having more than one strain sequenced, thus facilitating the annotation process. On the other hand, many genomic sequences are now left in the "draft" status, as a series of contigs, mainly for the labor-intensive finishing task. As a result, many genomic analyses are incomplete (e.g., in their annotation) or impossible to be performed (e.g., structural genomics analysis). Many approaches have been recently developed to facilitate the finishing process or at least to produce higher quality scaffolds; taking advantage of the comparative genomics paradigm, closely related genomes are used to align the contigs and determine their relative orientation, thus facilitating the finishing process, but also producing higher quality scaffolds.In this chapter we present the use of the CONTIGuator algorithm, which aligns the contigs from a draft genome to a closely related closed genome and resolves their relative orientation based on this alignment, producing a scaffold and a series of PCR primer pairs for the finishing process. The CONTIGuator algorithm is also capable of handling multipartite genomes (i.e., genomes having chromosomes and other plasmids), univocally mapping contigs to the most similar replicon. The program also produces a series of contig maps that allow to perform structural genomics analysis on the draft genome. The functionalities of the web interface, as well as the command line version, are presented.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 47%
Student > Ph. D. Student 6 35%
Professor > Associate Professor 2 12%
Student > Master 1 6%
Lecturer 1 6%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 59%
Biochemistry, Genetics and Molecular Biology 6 35%
Computer Science 1 6%
Immunology and Microbiology 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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.
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#20,241,019
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Outputs from Methods in molecular biology
#9,865
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Outputs of similar age from Methods in molecular biology
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