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AlignWise: a tool for identifying protein-coding sequence and correcting frame-shifts

Overview of attention for article published in BMC Bioinformatics, November 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
AlignWise: a tool for identifying protein-coding sequence and correcting frame-shifts
Published in
BMC Bioinformatics, November 2015
DOI 10.1186/s12859-015-0813-8
Pubmed ID
Authors

Teri Evans, Matthew Loose

Abstract

Identifying protein-coding genes from species without a reference genome sequence can be complicated by the presence of sequencing errors, particularly insertions and deletions. A number of tools capable of correcting erroneous frame-shifts within assembled transcripts are available but often do not report back DNA sequences required for subsequent phylogenetic analysis. Amongst those that do, the Genewise algorithm is the most effective. However, it requires a homology wrapper to be used in this way, and here we demonstrate it perfectly corrects frame-shifts only 60 % of the time. We therefore created AlignWise, a tool that combines Genewise with our own homology-based method, AlignFS, to identify protein-coding regions and correct erroneous frame-shifts, suitable for subsequent phylogenetic analysis. We compared AlignWise against other open reading frame finding software and demonstrate that the AlignFS algorithm is more accurate than Genewise at correcting frame-shifts within an order. We show that AlignWise provides the greatest accuracy at higher evolutionary distances, out-performing both AlignFS and Genewise individually. AlignWise produces a single ORF per transcript and identifies and corrects frame-shifts with high accuracy. It is therefore well suited for analysing novel transcriptome assemblies and EST sequences in the absence of a reference genome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Korea, Republic of 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 9 21%
Student > Bachelor 6 14%
Other 3 7%
Student > Postgraduate 3 7%
Other 10 24%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 55%
Biochemistry, Genetics and Molecular Biology 8 19%
Engineering 3 7%
Computer Science 3 7%
Arts and Humanities 1 2%
Other 1 2%
Unknown 3 7%
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 30 October 2017.
All research outputs
#5,891,771
of 22,832,057 outputs
Outputs from BMC Bioinformatics
#2,168
of 7,288 outputs
Outputs of similar age
#73,647
of 284,824 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 144 outputs
Altmetric has tracked 22,832,057 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 7,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 284,824 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 73% of its contemporaries.
We're also able to compare this research output to 144 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 73% of its contemporaries.