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Next-generation sequencing library construction on a surface

Overview of attention for article published in BMC Genomics, May 2018
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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23 X users
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2 patents

Citations

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8 Dimensions

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68 Mendeley
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Title
Next-generation sequencing library construction on a surface
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4797-4
Pubmed ID
Authors

Kuan Feng, Justin Costa, Jeremy S. Edwards

Abstract

Next-generation sequencing (NGS) has revolutionized almost all fields of biology, agriculture and medicine, and is widely utilized to analyse genetic variation. Over the past decade, the NGS pipeline has been steadily improved, and the entire process is currently relatively straightforward. However, NGS instrumentation still requires upfront library preparation, which can be a laborious process, requiring significant hands-on time. Herein, we present a simple but robust approach to streamline library preparation by utilizing surface bound transposases to construct DNA libraries directly on a flowcell surface. The surface bound transposases directly fragment genomic DNA while simultaneously attaching the library molecules to the flowcell. We sequenced and analysed a Drosophila genome library generated by this surface tagmentation approach, and we showed that our surface bound library quality was comparable to the quality of the library from a commercial kit. In addition to the time and cost savings, our approach does not require PCR amplification of the library, which eliminates potential problems associated with PCR duplicates. We described the first study to construct libraries directly on a flowcell. We believe our technique could be incorporated into the existing Illumina sequencing pipeline to simplify the workflow, reduce costs, and improve data quality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 11 16%
Student > Master 10 15%
Student > Bachelor 7 10%
Student > Doctoral Student 4 6%
Other 7 10%
Unknown 13 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 37%
Agricultural and Biological Sciences 19 28%
Engineering 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Arts and Humanities 1 1%
Other 4 6%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 07 May 2022.
All research outputs
#2,249,213
of 24,189,858 outputs
Outputs from BMC Genomics
#608
of 10,913 outputs
Outputs of similar age
#47,284
of 335,409 outputs
Outputs of similar age from BMC Genomics
#22
of 259 outputs
Altmetric has tracked 24,189,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,913 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 335,409 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 85% of its contemporaries.
We're also able to compare this research output to 259 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 91% of its contemporaries.