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ISMapper: identifying transposase insertion sites in bacterial genomes from short read sequence data

Overview of attention for article published in BMC Genomics, September 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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45 X users

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Title
ISMapper: identifying transposase insertion sites in bacterial genomes from short read sequence data
Published in
BMC Genomics, September 2015
DOI 10.1186/s12864-015-1860-2
Pubmed ID
Authors

Jane Hawkey, Mohammad Hamidian, Ryan R. Wick, David J. Edwards, Helen Billman-Jacobe, Ruth M. Hall, Kathryn E. Holt

Abstract

Insertion sequences (IS) are small transposable elements, commonly found in bacterial genomes. Identifying the location of IS in bacterial genomes can be useful for a variety of purposes including epidemiological tracking and predicting antibiotic resistance. However IS are commonly present in multiple copies in a single genome, which complicates genome assembly and the identification of IS insertion sites. Here we present ISMapper, a mapping-based tool for identification of the site and orientation of IS insertions in bacterial genomes, directly from paired-end short read data. ISMapper was validated using three types of short read data: (i) simulated reads from a variety of species, (ii) Illumina reads from 5 isolates for which finished genome sequences were available for comparison, and (iii) Illumina reads from 7 Acinetobacter baumannii isolates for which predicted IS locations were tested using PCR. A total of 20 genomes, including 13 species and 32 distinct IS, were used for validation. ISMapper correctly identified 97 % of known IS insertions in the analysis of simulated reads, and 98 % in real Illumina reads. Subsampling of real Illumina reads to lower depths indicated ISMapper was able to correctly detect insertions for average genome-wide read depths >20x, although read depths >50x were required to obtain confident calls that were highly-supported by evidence from reads. All ISAba1 insertions identified by ISMapper in the A. baumannii genomes were confirmed by PCR. In each A. baumannii genome, ISMapper successfully identified an IS insertion upstream of the ampC beta-lactamase that could explain phenotypic resistance to third-generation cephalosporins. The utility of ISMapper was further demonstrated by profiling genome-wide IS6110 insertions in 138 publicly available Mycobacterium tuberculosis genomes, revealing lineage-specific insertions and multiple insertion hotspots. ISMapper provides a rapid and robust method for identifying IS insertion sites directly from short read data, with a high degree of accuracy demonstrated across a wide range of bacteria.

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X Demographics

The data shown below were collected from the profiles of 45 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
Germany 1 <1%
Malaysia 1 <1%
Australia 1 <1%
Canada 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 225 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 26%
Student > Ph. D. Student 43 18%
Student > Master 33 14%
Student > Bachelor 25 11%
Student > Postgraduate 10 4%
Other 25 11%
Unknown 36 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 29%
Biochemistry, Genetics and Molecular Biology 61 26%
Immunology and Microbiology 28 12%
Computer Science 6 3%
Medicine and Dentistry 6 3%
Other 21 9%
Unknown 45 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 03 January 2024.
All research outputs
#1,583,404
of 25,628,260 outputs
Outputs from BMC Genomics
#285
of 11,293 outputs
Outputs of similar age
#20,595
of 277,496 outputs
Outputs of similar age from BMC Genomics
#6
of 283 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,293 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 277,496 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 92% of its contemporaries.
We're also able to compare this research output to 283 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 98% of its contemporaries.