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Assisted assembly: how to improve a de novo genome assembly by using related species

Overview of attention for article published in Genome Biology, August 2009
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1 X user

Citations

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53 Dimensions

Readers on

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271 Mendeley
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35 CiteULike
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4 Connotea
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Title
Assisted assembly: how to improve a de novo genome assembly by using related species
Published in
Genome Biology, August 2009
DOI 10.1186/gb-2009-10-8-r88
Pubmed ID
Authors

Sante Gnerre, Eric S Lander, Kerstin Lindblad-Toh, David B Jaffe

Abstract

We describe a new assembly algorithm, where a genome assembly with low sequence coverage, either throughout the genome or locally, due to cloning bias, is considerably improved through an assisting process via a related genome. We show that the information provided by aligning the whole-genome shotgun reads of the target against a reference genome can be used to substantially improve the quality of the resulting assembly.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 6%
Brazil 6 2%
France 3 1%
Germany 3 1%
China 3 1%
Sweden 2 <1%
Norway 2 <1%
Canada 2 <1%
Argentina 2 <1%
Other 10 4%
Unknown 223 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 84 31%
Student > Ph. D. Student 75 28%
Student > Master 24 9%
Professor 17 6%
Other 14 5%
Other 38 14%
Unknown 19 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 168 62%
Biochemistry, Genetics and Molecular Biology 40 15%
Computer Science 23 8%
Environmental Science 7 3%
Medicine and Dentistry 3 1%
Other 10 4%
Unknown 20 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 May 2013.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#92,443
of 100,909 outputs
Outputs of similar age from Genome Biology
#27
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.