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Genome Wide Sampling Sequencing for SNP Genotyping: Methods, Challenges and Future Development

Overview of attention for article published in International Journal of Biological Sciences, January 2016
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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244 Mendeley
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Article details
Title
Genome Wide Sampling Sequencing for SNP Genotyping: Methods, Challenges and Future Development
Published in
International Journal of Biological Sciences, January 2016
DOI 10.7150/ijbs.13498
Pubmed ID
Authors
Abstract

Genetic polymorphisms, particularly single nucleotide polymorphisms (SNPs), have been widely used to advance quantitative, functional and evolutionary genomics. Ideally, all genetic variants among individuals should be discovered when next generation sequencing (NGS) technologies and platforms are used for whole genome sequencing or resequencing. In order to improve the cost-effectiveness of the process, however, the research community has mainly focused on developing genome-wide sampling sequencing (GWSS) methods, a collection of reduced genome complexity sequencing, reduced genome representation sequencing and selective genome target sequencing. Here we review the major steps involved in library preparation, the types of adapters used for ligation and the primers designed for amplification of ligated products for sequencing. Unfortunately, currently available GWSS methods have their drawbacks, such as inconsistency in the number of reads per sample library, the number of sites/targets per individual, and the number of reads per site/target, all of which result in missing data. Suggestions are proposed here to improve library construction, genotype calling accuracy, genome-wide marker density and read mapping rate. In brief, optimized GWSS library preparation should generate a unique set of target sites with dense distribution along chromosomes and even coverage per site across all individuals.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 2 <1%
United Kingdom 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 239 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 56 23%
Student > Master 46 19%
Researcher 37 15%
Student > Bachelor 17 7%
Student > Postgraduate 16 7%
Other 38 16%
Unknown 34 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 98 40%
Biochemistry, Genetics and Molecular Biology 65 27%
Environmental Science 7 3%
Medicine and Dentistry 7 3%
Computer Science 5 2%
Other 17 7%
Unknown 45 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 February 2024.
All research outputs
#8,017,624
of 30,296,742 outputs
Outputs from International Journal of Biological Sciences
#334
of 1,442 outputs
Outputs of similar age
#100,124
of 417,767 outputs
Outputs of similar age from International Journal of Biological Sciences
#3
of 27 outputs
Altmetric has tracked 30,296,742 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 75% 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 417,767 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 74% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.