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LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads

Overview of attention for article published in Giga Science, August 2015
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
2 blogs
twitter
28 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
216 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
2 CiteULike
Title
LINKS: Scalable, alignment-free scaffolding of draft genomes with long reads
Published in
Giga Science, August 2015
DOI 10.1186/s13742-015-0076-3
Pubmed ID
Authors

René L. Warren, Chen Yang, Benjamin P. Vandervalk, Bahar Behsaz, Albert Lagman, Steven J. M. Jones, Inanç Birol

Abstract

Owing to the complexity of the assembly problem, we do not yet have complete genome sequences. The difficulty in assembling reads into finished genomes is exacerbated by sequence repeats and the inability of short reads to capture sufficient genomic information to resolve those problematic regions. In this regard, established and emerging long read technologies show great promise, but their current associated higher error rates typically require computational base correction and/or additional bioinformatics pre-processing before they can be of value. We present LINKS, the Long Interval Nucleotide K-mer Scaffolder algorithm, a method that makes use of the sequence properties of nanopore sequence data and other error-containing sequence data, to scaffold high-quality genome assemblies, without the need for read alignment or base correction. Here, we show how the contiguity of an ABySS Escherichia coli K-12 genome assembly can be increased greater than five-fold by the use of beta-released Oxford Nanopore Technologies Ltd. long reads and how LINKS leverages long-range information in Saccharomyces cerevisiae W303 nanopore reads to yield assemblies whose resulting contiguity and correctness are on par with or better than that of competing applications. We also present the re-scaffolding of the colossal white spruce (Picea glauca) draft assembly (PG29, 20 Gbp) and demonstrate how LINKS scales to larger genomes. This study highlights the present utility of nanopore reads for genome scaffolding in spite of their current limitations, which are expected to diminish as the nanopore sequencing technology advances. We expect LINKS to have broad utility in harnessing the potential of long reads in connecting high-quality sequences of small and large genome assembly drafts.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
United States 2 <1%
Sweden 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Argentina 1 <1%
Other 3 1%
Unknown 216 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 23%
Researcher 49 21%
Student > Master 34 15%
Student > Doctoral Student 15 6%
Student > Bachelor 14 6%
Other 34 15%
Unknown 32 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 43%
Biochemistry, Genetics and Molecular Biology 55 24%
Computer Science 22 9%
Engineering 4 2%
Medicine and Dentistry 3 1%
Other 11 5%
Unknown 38 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 05 July 2018.
All research outputs
#1,317,519
of 25,374,917 outputs
Outputs from Giga Science
#216
of 1,168 outputs
Outputs of similar age
#16,664
of 275,997 outputs
Outputs of similar age from Giga Science
#4
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 81% 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 275,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.