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Reconstruction of Bacterial and Viral Genomes from Multiple Metagenomes

Overview of attention for article published in Frontiers in Microbiology, April 2016
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Title
Reconstruction of Bacterial and Viral Genomes from Multiple Metagenomes
Published in
Frontiers in Microbiology, April 2016
DOI 10.3389/fmicb.2016.00469
Pubmed ID
Authors

Ankit Gupta, Sanjiv Kumar, Vishnu P. K. Prasoodanan, K. Harish, Ashok K. Sharma, Vineet K. Sharma

Abstract

Several metagenomic projects have been accomplished or are in progress. However, in most cases, it is not feasible to generate complete genomic assemblies of species from the metagenomic sequencing of a complex environment. Only a few studies have reported the reconstruction of bacterial genomes from complex metagenomes. In this work, Binning-Assembly approach has been proposed and demonstrated for the reconstruction of bacterial and viral genomes from 72 human gut metagenomic datasets. A total 1156 bacterial genomes belonging to 219 bacterial families and, 279 viral genomes belonging to 84 viral families could be identified. More than 80% complete draft genome sequences could be reconstructed for a total of 126 bacterial and 11 viral genomes. Selected draft assembled genomes could be validated with 99.8% accuracy using their ORFs. The study provides useful information on the assembly expected for a species given its number of reads and abundance. This approach along with spiking was also demonstrated to be useful in improving the draft assembly of a bacterial genome. The Binning-Assembly approach can be successfully used to reconstruct bacterial and viral genomes from multiple metagenomic datasets obtained from similar environments.

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
United Kingdom 1 1%
Canada 1 1%
Sweden 1 1%
Mexico 1 1%
Egypt 1 1%
Japan 1 1%
Korea, Republic of 1 1%
Other 0 0%
Unknown 81 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 28%
Student > Ph. D. Student 23 25%
Student > Master 11 12%
Professor > Associate Professor 8 9%
Student > Bachelor 5 5%
Other 13 14%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 46%
Biochemistry, Genetics and Molecular Biology 23 25%
Engineering 3 3%
Immunology and Microbiology 3 3%
Computer Science 3 3%
Other 9 10%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 06 May 2016.
All research outputs
#1,910,855
of 24,885,505 outputs
Outputs from Frontiers in Microbiology
#1,303
of 28,434 outputs
Outputs of similar age
#31,126
of 306,934 outputs
Outputs of similar age from Frontiers in Microbiology
#38
of 559 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% 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 306,934 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 89% of its contemporaries.
We're also able to compare this research output to 559 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 93% of its contemporaries.