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Visualization of consensus genome structure without using a reference genome

Overview of attention for article published in BMC Genomics, March 2017
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Title
Visualization of consensus genome structure without using a reference genome
Published in
BMC Genomics, March 2017
DOI 10.1186/s12864-017-3499-7
Pubmed ID
Authors

Ipputa Tada, Yasuhiro Tanizawa, Masanori Arita

Abstract

Standard graphical tools for whole genome comparison require a reference genome. However, any reference is also subject to annotation biases and rearrangements, and may not serve as the standard except for those of extensively studied model species. To fully exploit the rapidly accumulating sequence data from the recent sequencing technologies, genome comparison without any reference has been anticipated. We introduce a circular genome visualizer to compare complete genomes of closely related species. This tool visualizes the position of orthologous gene clusters rather than actual sequences or their features, thereby achieving the comparative view without using a single reference genome. The essential information is the matrix of orthologous gene clusters whose positions (not sequences) are color-coded in circular graphics. As a demonstration, comparison of 14 Lactobacillus paracasei strains and one L. casei strain revealed not only large-scale rearrangements but also genomic islands that are strain-specific. Comparison of 73 Helicobacter pylori strains confirmed their genetic consistency and also revealed the three general patterns of large-scale genome inversions. From the ample sequence information in the GenBank/ENA/DDBJ repository, we can reconstruct a genomic consensus for particular species. By visualizing multiple strains at a glance, we can identify conserved as well as strain-specific regions in multiply sequenced genomes. Positional consistency for orthologous genes provides information orthogonal to major sequence features such as the GC content or sequence similarity of marker genes. The positional comparison is therefore useful for identifying large-scale genome rearrangements or gene transfers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 5 16%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Professor 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Biochemistry, Genetics and Molecular Biology 5 16%
Immunology and Microbiology 2 6%
Environmental Science 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 10 32%
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 12 April 2017.
All research outputs
#19,594,120
of 24,093,053 outputs
Outputs from BMC Genomics
#8,468
of 10,906 outputs
Outputs of similar age
#240,248
of 311,394 outputs
Outputs of similar age from BMC Genomics
#147
of 199 outputs
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