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The Human Virome

Overview of attention for book
Cover of 'The Human Virome'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow Cytometry and Direct Sequencing of Viruses
  3. Altmetric Badge
    Chapter 2 Tissue-Based Universal Virus Detection (TUViD-VM) Protocol for Viral Metagenomics
  4. Altmetric Badge
    Chapter 3 Protocol for Generating Infectious RNA Viromes from Complex Biological Samples
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    Chapter 4 Phage on Tap: A Quick and Efficient Protocol for the Preparation of Bacteriophage Laboratory Stocks
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    Chapter 5 Extraction and Purification of Viruses from Fecal Samples for Metagenome and Morphology Analyses
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    Chapter 6 Virome Sequencing of Stool Samples
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    Chapter 7 NetoVIR: Modular Approach to Customize Sample Preparation Procedures for Viral Metagenomics
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    Chapter 8 Viral Genome Isolation from Human Faeces for Succession Assessment of the Human Gut Virome
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    Chapter 9 Introduction to Techniques and Methodologies for Characterizing the Human Respiratory Virome
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    Chapter 10 Targeted Sequencing of Respiratory Viruses in Clinical Specimens for Pathogen Identification and Genome-Wide Analysis
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    Chapter 11 Methods for Enrichment and Sequencing of Oral Viral Assemblages: Saliva, Oral Mucosa, and Dental Plaque Viromes
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    Chapter 12 A Method for Isolation of the Virome from Plasma Samples
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    Chapter 13 Viral Concentration and Amplification from Human Serum Samples Prior to Application of Next-Generation Sequencing Analysis
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    Chapter 14 Identification and Quantification of DNA Viral Populations in Human Urine Using Next-Generation Sequencing Approaches
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    Chapter 15 Diversity Analysis in Viral Metagenomes
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    Chapter 16 Construction of a Comprehensive Database from the Existing Viral Sequences Available from the International Nucleotide Sequence Database Collaboration
  18. Altmetric Badge
    Chapter 17 Robust Analysis of Time Series in Virome Metagenomics
  19. Altmetric Badge
    Chapter 18 Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome
Attention for Chapter 18: Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Chapter title
Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome
Chapter number 18
Book title
The Human Virome
Published in
Methods in molecular biology, August 2018
DOI 10.1007/978-1-4939-8682-8_18
Pubmed ID
Book ISBNs
978-1-4939-8681-1, 978-1-4939-8682-8
Authors

Jake Lin, Bryn Y. Kimura, Sami Oikarinen, Matti Nykter, Lin, Jake, Kimura, Bryn Y., Oikarinen, Sami, Nykter, Matti

Abstract

The human microbiome project via application of metagenomic next-generation sequencing techniques has found surprising large and diverse amounts of microbial sequences across different body sites. There is a wave of investigators studying autoimmune related diseases designing from birth case and control studies to elucidate microbial associations and potential direct triggers. Sequencing analysis, considered big data as it typically includes millions of reads, is challenging but particularly demanding and complex is virome profiling due to its lack of pan-viral genomic signature. Impressively thousands of virus complete genomes have been deposited and these high-quality references are core components of virus profiling pipelines and databases. Still it is commonly known that most viral sequences do not map to known viruses. Moreover human viruses, particularly RNA groups, are notoriously heterogeneous due to high mutation rates. Here, we present the related assembling challenges and a series of bioinformatics steps that were applied in the construction of the complete consensus genome of a novel clinical isolate of Coxsackievirus B1. We further demonstrate our effort in calling mutations between prototype Coxsackievirus B1 sequence from GenBank and serial clinical isolate genome grown in cell culture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Master 2 14%
Student > Bachelor 1 7%
Other 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Veterinary Science and Veterinary Medicine 1 7%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 April 2019.
All research outputs
#7,955,341
of 25,837,817 outputs
Outputs from Methods in molecular biology
#2,414
of 14,362 outputs
Outputs of similar age
#125,464
of 344,742 outputs
Outputs of similar age from Methods in molecular biology
#34
of 252 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 14,362 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 83% 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 344,742 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 62% of its contemporaries.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.