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VAliBS: a visual aligner for bisulfite sequences

Overview of attention for article published in BMC Bioinformatics, October 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
VAliBS: a visual aligner for bisulfite sequences
Published in
BMC Bioinformatics, October 2017
DOI 10.1186/s12859-017-1827-1
Pubmed ID
Authors

Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan, Fang-Xiang Wu

Abstract

Methylation is a common modification of DNA. It has been a very important and hot topic to study the correlation between methylation and diseases in medical science. Because of the special process with bisulfite treatment, traditional mapping tools do not work well with such methylation experimental reads. Traditional aligners are not designed for mapping bisulfite-treated reads, where the un-methylated 'C's are converted to 'T's. In this paper, we develop a reliable and visual tool, named VAliBS, for mapping bisulfate sequences to a genome reference. VAliBS works well even on large scale data or high noise data. By comparing with other state-of-the-art tools (BisMark, BSMAP, BS-Seeker2), VAliBS can improve the accuracy of bisulfite mapping. Moreover, VAliBS is a visual tool which makes its operations more easily and the alignment results are shown with colored marks which makes it easier to be read. VAliBS provides fast and accurate mapping of bisulfite-converted reads, and a friendly window system to visualize the detail of mapping of each read. VAliBS works well on both simulated data and real data. It can be useful in DNA methylation research. VALiBS implements an X-Window user interface where the methylation positions are visual and the operations are friendly.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 55%
Student > Master 2 18%
Professor 1 9%
Unknown 2 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Immunology and Microbiology 2 18%
Nursing and Health Professions 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 3 27%
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 21 September 2023.
All research outputs
#6,945,600
of 24,657,405 outputs
Outputs from BMC Bioinformatics
#2,521
of 7,565 outputs
Outputs of similar age
#106,293
of 330,883 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 122 outputs
Altmetric has tracked 24,657,405 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 66% 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 330,883 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 67% of its contemporaries.
We're also able to compare this research output to 122 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 67% of its contemporaries.