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Bacteriophages

Overview of attention for book
Cover of 'Bacteriophages'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Basic Phage Mathematics
  3. Altmetric Badge
    Chapter 2 Analysis of Host-Takeover During SPO1 Infection of Bacillus subtilis
  4. Altmetric Badge
    Chapter 3 Practical Advice on the One-Step Growth Curve
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    Chapter 4 Iron Chloride Flocculation of Bacteriophages from Seawater
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    Chapter 5 Purification of Bacteriophages Using Anion-Exchange Chromatography
  7. Altmetric Badge
    Chapter 6 Encapsulation Strategies of Bacteriophage (Felix O1) for Oral Therapeutic Application
  8. Altmetric Badge
    Chapter 7 Encapsulation of Listeria Phage A511 by Alginate to Improve Its Thermal Stability
  9. Altmetric Badge
    Chapter 8 Application of a Virucidal Agent to Avoid Overestimation of Phage Kill During Phage Decontamination Assays on Ready-to-Eat Meats
  10. Altmetric Badge
    Chapter 9 Sequencing, Assembling, and Finishing Complete Bacteriophage Genomes
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    Chapter 10 Identification of DNA Base Modifications by Means of Pacific Biosciences RS Sequencing Technology
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    Chapter 11 Analyzing Genome Termini of Bacteriophage Through High-Throughput Sequencing
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    Chapter 12 Amplification for Whole Genome Sequencing of Bacteriophages from Single Isolated Plaques Using SISPA
  14. Altmetric Badge
    Chapter 13 Genome Sequencing of dsDNA-Containing Bacteriophages Directly from a Single Plaque
  15. Altmetric Badge
    Chapter 14 Preparing cDNA Libraries from Lytic Phage-Infected Cells for Whole Transcriptome Analysis by RNA-Seq
  16. Altmetric Badge
    Chapter 15 Essential Steps in Characterizing Bacteriophages: Biology, Taxonomy, and Genome Analysis
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    Chapter 16 Annotation of Bacteriophage Genome Sequences Using DNA Master: An Overview
  18. Altmetric Badge
    Chapter 17 Phage Genome Annotation Using the RAST Pipeline
  19. Altmetric Badge
    Chapter 18 Visualization of Phage Genomic Data: Comparative Genomics and Publication-Quality Diagrams
  20. Altmetric Badge
    Chapter 19 Transposable Bacteriophages as Genetic Tools
  21. Altmetric Badge
    Chapter 20 Applications of the Bacteriophage Mu In Vitro Transposition Reaction and Genome Manipulation via Electroporation of DNA Transposition Complexes
  22. Altmetric Badge
    Chapter 21 Use of RP4::Mini-Mu for Gene Transfer
  23. Altmetric Badge
    Chapter 22 Muprints and Whole Genome Insertion Scans: Methods for Investigating Chromosome Accessibility and DNA Dynamics using Bacteriophage Mu
Attention for Chapter 17: Phage Genome Annotation Using the RAST Pipeline
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Chapter title
Phage Genome Annotation Using the RAST Pipeline
Chapter number 17
Book title
Bacteriophages
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7343-9_17
Pubmed ID
Book ISBNs
978-1-4939-7341-5, 978-1-4939-7343-9
Authors

Katelyn McNair, Ramy Karam Aziz, Gordon D. Pusch, Ross Overbeek, Bas E. Dutilh, Robert Edwards, McNair, Katelyn, Aziz, Ramy Karam, Pusch, Gordon D., Overbeek, Ross, Dutilh, Bas E., Edwards, Robert

Abstract

Phages are complex biomolecular machineries that have to survive in a bacterial world. Phage genomes show many adaptations to their lifestyle such as shorter genes, reduced capacity for redundant DNA sequences, and the inclusion of tRNAs in their genomes. In addition, phages are not free-living, they require a host for replication and survival. These unique adaptations provide challenges for the bioinformatics analysis of phage genomes. In particular, ORF calling, genome annotation, noncoding RNA (ncRNA) identification, and the identification of transposons and insertions are all complicated in phage genome analysis. We provide a road map through the phage genome annotation pipeline, and discuss the challenges and solutions for phage genome annotation as we have implemented in the rapid annotation using subsystems (RAST) pipeline.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Student > Bachelor 13 14%
Researcher 11 12%
Student > Master 10 11%
Student > Postgraduate 5 5%
Other 12 13%
Unknown 29 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 24%
Agricultural and Biological Sciences 14 15%
Immunology and Microbiology 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Economics, Econometrics and Finance 2 2%
Other 8 9%
Unknown 34 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 August 2019.
All research outputs
#4,788,404
of 25,378,162 outputs
Outputs from Methods in molecular biology
#1,253
of 14,183 outputs
Outputs of similar age
#96,734
of 451,542 outputs
Outputs of similar age from Methods in molecular biology
#98
of 1,486 outputs
Altmetric has tracked 25,378,162 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,183 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 91% 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 451,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 1,486 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 93% of its contemporaries.