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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
  2. Altmetric Badge
    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 3: Choice of Next-Generation Sequencing Pipelines
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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21 X users
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Citations

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Chapter title
Choice of Next-Generation Sequencing Pipelines
Chapter number 3
Book title
Bacterial Pangenomics
Published in
Methods in molecular biology, October 2014
DOI 10.1007/978-1-4939-1720-4_3
Pubmed ID
Book ISBNs
978-1-4939-1719-8, 978-1-4939-1720-4
Authors

Del Chierico F, Ancora M, Marcacci M, Cammà C, Putignani L, Conti S, F. Del Chierico, M. Ancora, M. Marcacci, C. Cammà, L. Putignani, Salvatore Conti, Chierico, F., Ancora, M., Marcacci, M., Cammà, C., Putignani, L., Conti, Salvatore, Chierico, F. Del

Abstract

The next-generation sequencing (NGS) technologies are revolutionary tools which have made possible achieving remarkable advances in genetics since the beginning of the twenty-first century. Thanks to the possibility to produce large amount of sequence data, these tools are going to completely substitute other high-throughput technologies. Moreover, the large applications of NGS protocols are increasing the genetic decoding of biological systems through studies of genome anatomy and gene mapping, coupled to the transcriptome pictures. The application of NGS pipelines such as (1) de-novo genomic sequencing by mate-paired and whole-genome shotgun strategies; (2) specific gene sequencing on large bacterial communities; and (3) RNA-seq methods including whole transcriptome sequencing and Serial Analysis of Gene Expression (Sage-analysis) are fundamental in the genome-wide fields like metagenomics. Recently, the availability of these advanced protocols has allowed to overcome the usual sequencing technical issues related to the mapping specificity over standard shotgun library sequencing, the detection of large structural genomes variations and bridging sequencing gaps, as well as more precise gene annotation. In this chapter we will discuss how to manage a successful NGS pipeline from the planning of sequencing projects through the choice of the platforms up to the data analysis management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
Germany 1 <1%
Italy 1 <1%
Belgium 1 <1%
Luxembourg 1 <1%
Unknown 102 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 23%
Student > Bachelor 16 14%
Student > Ph. D. Student 15 14%
Student > Master 14 13%
Student > Postgraduate 5 5%
Other 11 10%
Unknown 24 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 32%
Biochemistry, Genetics and Molecular Biology 28 25%
Environmental Science 6 5%
Immunology and Microbiology 5 5%
Medicine and Dentistry 4 4%
Other 6 5%
Unknown 27 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 10 May 2018.
All research outputs
#1,628,272
of 23,498,099 outputs
Outputs from Methods in molecular biology
#209
of 13,368 outputs
Outputs of similar age
#19,576
of 261,989 outputs
Outputs of similar age from Methods in molecular biology
#4
of 126 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 261,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 126 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 97% of its contemporaries.