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Refining borders of genome-rearrangements including repetitions

Overview of attention for article published in BMC Genomics, October 2016
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Title
Refining borders of genome-rearrangements including repetitions
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3069-4
Pubmed ID
Authors

JA Arjona-Medina, O Trelles

Abstract

DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind evolution. Although there are many methods to identify genome-rearrangements (GR), the refinement of their borders has become a huge challenge. Until now no accepted method exists to achieve accurate fine-tuning: i.e. the notion of breakpoint (BP) is still an open issue, and despite repeated regions are vital to understand evolution they are not taken into account in most of the GR detection and refinement methods. We propose a method to refine the borders of GR including repeated regions. Instead of removing these repetitions to facilitate computation, we take advantage of them using a consensus alignment sequence of the repeated region in between two blocks. Using the concept of identity vectors for Synteny Blocks (SB) and repetitions, a Finite State Machine is designed to detect transition points in the difference between such vectors. The method does not force the BP to be a region or a point but depends on the alignment transitions within the SBs and repetitions. The accurate definition of the borders of SB and repeated genomic regions and consequently the detection of BP might help to understand the evolutionary model of species. In this manuscript we present a new proposal for such a refinement. Features of the SBs borders and BPs are different and fit with what is expected. SBs with more diversity in annotations and BPs short and richer in DNA replication and stress response, which are strongly linked with rearrangements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 21%
Student > Ph. D. Student 3 21%
Student > Bachelor 2 14%
Researcher 2 14%
Student > Master 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Engineering 2 14%
Computer Science 2 14%
Psychology 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 1 7%
Unknown 2 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 November 2016.
All research outputs
#13,119,835
of 22,896,955 outputs
Outputs from BMC Genomics
#4,731
of 10,673 outputs
Outputs of similar age
#158,237
of 313,870 outputs
Outputs of similar age from BMC Genomics
#88
of 223 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,673 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 313,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 223 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 60% of its contemporaries.