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antaRNA – Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization

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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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4 X users
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1 Facebook page
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1 Wikipedia page

Citations

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26 Dimensions

Readers on

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28 Mendeley
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2 CiteULike
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Title
antaRNA – Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization
Published in
BMC Bioinformatics, November 2015
DOI 10.1186/s12859-015-0815-6
Pubmed ID
Authors

Robert Kleinkauf, Torsten Houwaart, Rolf Backofen, Martin Mann

Abstract

Many functional RNA molecules fold into pseudoknot structures, which are often essential for the formation of an RNA's 3D structure. Currently the design of RNA molecules, which fold into a specific structure (known as RNA inverse folding) within biotechnological applications, is lacking the feature of incorporating pseudoknot structures into the design. Hairpin-(H)- and kissing hairpin-(K)-type pseudoknots cover a wide range of biologically functional pseudoknots and can be represented on a secondary structure level. The RNA inverse folding program antaRNA, which takes secondary structure, target GC-content and sequence constraints as input, is extended to provide solutions for such H- and K-type pseudoknotted secondary structure constraint. We demonstrate the easy and flexible interchangeability of modules within the antaRNA framework by incorporating pKiss as structure prediction tool capable of predicting the mentioned pseudoknot types. The performance of the approach is demonstrated on a subset of the Pseudobase ++ dataset. This new service is available via a standalone version and is also part of the Freiburg RNA Tools webservice. Furthermore, antaRNA is available in Galaxy and is part of the RNA-workbench Docker image.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Ph. D. Student 5 18%
Researcher 5 18%
Professor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 7 25%
Readers by discipline Count As %
Computer Science 11 39%
Biochemistry, Genetics and Molecular Biology 5 18%
Agricultural and Biological Sciences 2 7%
Unspecified 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 7 25%
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 04 December 2015.
All research outputs
#6,049,978
of 22,833,393 outputs
Outputs from BMC Bioinformatics
#2,251
of 7,288 outputs
Outputs of similar age
#93,045
of 386,425 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 134 outputs
Altmetric has tracked 22,833,393 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 68% 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 386,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 134 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.