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CAR: contig assembly of prokaryotic draft genomes using rearrangements

Overview of attention for article published in BMC Bioinformatics, November 2014
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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17 X users
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Article details
Title
CAR: contig assembly of prokaryotic draft genomes using rearrangements
Published in
BMC Bioinformatics, November 2014
DOI 10.1186/s12859-014-0381-3
Pubmed ID
Authors
Abstract

BackgroundNext generation sequencing technology has allowed efficient production of draft genomes for many organisms of interest. However, most draft genomes are just collections of independent contigs, whose relative positions and orientations along the genome being sequenced are unknown. Although several tools have been developed to order and orient the contigs of draft genomes, more accurate tools are still needed.ResultsIn this study, we present a novel reference-based contig assembly (or scaffolding) tool, named as CAR, that can efficiently and more accurately order and orient the contigs of a prokaryotic draft genome based on a reference genome of a related organism. Given a set of contigs in multi-FASTA format and a reference genome in FASTA format, CAR can output a list of scaffolds, each of which is a set of ordered and oriented contigs. For validation, we have tested CAR on a real dataset composed of several prokaryotic genomes and also compared its performance with several other reference-based contig assembly tools. Consequently, our experimental results have shown that CAR indeed performs better than all these other reference-based contig assembly tools in terms of sensitivity, precision and genome coverage.ConclusionsCAR serves as an efficient tool that can more accurately order and orient the contigs of a prokaryotic draft genome based on a reference genome. The web server of CAR is freely available at http://genome.cs.nthu.edu.tw/CAR/ and its stand-alone program can also be downloaded from the same website.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 101 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 %
United States 2 2%
Spain 2 2%
Thailand 1 <1%
Sweden 1 <1%
Poland 1 <1%
New Zealand 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Other 1 <1%
Unknown 89 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 25%
Student > Ph. D. Student 19 19%
Student > Bachelor 13 13%
Student > Master 13 13%
Professor 6 6%
Other 16 16%
Unknown 9 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 41%
Biochemistry, Genetics and Molecular Biology 25 25%
Computer Science 10 10%
Medicine and Dentistry 3 3%
Environmental Science 2 2%
Other 8 8%
Unknown 12 12%
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 26 December 2015.
All research outputs
#3,968,030
of 27,647,822 outputs
Outputs from BMC Bioinformatics
#1,181
of 7,876 outputs
Outputs of similar age
#50,794
of 377,680 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 134 outputs
Altmetric has tracked 27,647,822 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,876 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 84% 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 377,680 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 86% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.