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Predicting genome terminus sequences of Bacillus cereus-group bacteriophage using next generation sequencing data

Overview of attention for article published in BMC Genomics, May 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Predicting genome terminus sequences of Bacillus cereus-group bacteriophage using next generation sequencing data
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3744-0
Pubmed ID
Authors

Cheng-Han Chung, Michael H. Walter, Luobin Yang, Shu-Chuan (Grace) Chen, Vern Winston, Michael A. Thomas

Abstract

Most tailed bacteriophages (phages) feature linear dsDNA genomes. Characterizing novel phages requires an understanding of complete genome sequences, including the definition of genome physical ends. We sequenced 48 Bacillus cereus phage isolates and analyzed Next-generation sequencing (NGS) data to resolve the genome configuration of these novel phages. Most assembled contigs featured reads that mapped to both contig ends and formed circularized contigs. Independent assemblies of 31 nearly identical I48-like Bacillus phage isolates allowed us to observe that the assembly programs tended to produce random cleavage on circularized contigs. However, currently available assemblers were not capable of reporting the underlying phage genome configuration from sequence data. To identify the genome configuration of sequenced phage in silico, a terminus prediction method was developed by means of 'neighboring coverage ratios' and 'read edge frequencies' from read alignment files. Termini were confirmed by primer walking and supported by phylogenetic inference of large DNA terminase protein sequences. The Terminus package using phage NGS data along with the contig circularity could efficiently identify the proximal positions of phage genome terminus. Complete phage genome sequences allow a proposed characterization of the potential packaging mechanisms and more precise genome annotation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Student > Bachelor 6 12%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Biochemistry, Genetics and Molecular Biology 9 18%
Immunology and Microbiology 3 6%
Engineering 2 4%
Medicine and Dentistry 2 4%
Other 2 4%
Unknown 15 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 September 2017.
All research outputs
#6,261,854
of 23,498,099 outputs
Outputs from BMC Genomics
#2,585
of 10,787 outputs
Outputs of similar age
#97,241
of 312,125 outputs
Outputs of similar age from BMC Genomics
#60
of 215 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 312,125 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.