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SBAL: a practical tool to generate and edit structure-based amino acid sequence alignments

Overview of attention for article published in Bioinformatics, February 2012
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Citations

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Title
SBAL: a practical tool to generate and edit structure-based amino acid sequence alignments
Published in
Bioinformatics, February 2012
DOI 10.1093/bioinformatics/bts035
Pubmed ID
Authors

Conan K. Wang, Ursula Broder, Saroja K. Weeratunga, Robin B. Gasser, Alex Loukas, Andreas Hofmann

Abstract

Both alignment generation and visualization are important processes for producing biologically meaningful sequence alignments. Computational tools that combine reliable, automated and semi-automated approaches to produce secondary structure-based alignments with an appropriate visualization of the results are rare. We have developed SBAL, a tool to generate and edit secondary structure-based sequence alignments. It is easy to install and provides a user-friendly interface. Sequence alignments are displayed, with secondary structure assignments mapped to their corresponding regions in the sequence by using a simple colour scheme. The algorithm implemented for automated and semi-automated secondary structure-based alignment calculations shows a comparable performance to existing software.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 7%
Australia 1 4%
Sweden 1 4%
United Kingdom 1 4%
Belgium 1 4%
Spain 1 4%
Unknown 21 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 5 18%
Professor 4 14%
Professor > Associate Professor 3 11%
Student > Bachelor 2 7%
Other 6 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 64%
Biochemistry, Genetics and Molecular Biology 4 14%
Computer Science 2 7%
Mathematics 1 4%
Chemical Engineering 1 4%
Other 0 0%
Unknown 2 7%
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 18 April 2012.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from Bioinformatics
#11,290
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Outputs of similar age
#202,521
of 256,934 outputs
Outputs of similar age from Bioinformatics
#108
of 120 outputs
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