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Comparative analysis of targeted long read sequencing approaches for characterization of a plant’s immune receptor repertoire

Overview of attention for article published in BMC Genomics, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Comparative analysis of targeted long read sequencing approaches for characterization of a plant’s immune receptor repertoire
Published in
BMC Genomics, July 2017
DOI 10.1186/s12864-017-3936-7
Pubmed ID
Authors

Michael Giolai, Pirita Paajanen, Walter Verweij, Kamil Witek, Jonathan D. G. Jones, Matthew D. Clark

Abstract

The Oxford Nanopore Technologies MinION™ sequencer is a small, portable, low cost device that is accessible to labs of all sizes and attractive for in-the-field sequencing experiments. Selective breeding of crops has led to a reduction in genetic diversity, and wild relatives are a key source of new genetic resistance to pathogens, usually via NLR immune receptor-encoding genes. Recent studies have demonstrated how crop NLR repertoires can be targeted for sequencing on Illumina or PacBio (RenSeq) and the specific gene conveying pathogen resistance identified. Sequence yields per MinION run are lower than Illumina, making targeted resequencing an efficient approach. While MinION generates long reads similar to PacBio it doesn't generate the highly accurate multipass consensus reads, which presents downstream bioinformatics challenges. Here we demonstrate how MinION data can be used for RenSeq achieving similar results to the PacBio and how novel NLR gene fusions can be identified via a Nanopore RenSeq pipeline. The described library preparation and bioinformatics methods should be applicable to other gene families or any targeted long DNA fragment nanopore sequencing project.

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The data shown below were collected from the profiles of 19 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Ph. D. Student 19 18%
Student > Master 15 15%
Student > Bachelor 7 7%
Professor > Associate Professor 5 5%
Other 14 14%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 43%
Biochemistry, Genetics and Molecular Biology 21 20%
Environmental Science 4 4%
Computer Science 3 3%
Engineering 3 3%
Other 6 6%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 March 2018.
All research outputs
#3,051,764
of 23,577,654 outputs
Outputs from BMC Genomics
#1,107
of 10,777 outputs
Outputs of similar age
#57,060
of 317,930 outputs
Outputs of similar age from BMC Genomics
#32
of 209 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 89% 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 317,930 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 82% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.