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Complete probabilistic analysis of RNA shapes

Overview of attention for article published in BMC Biology, February 2006
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Title
Complete probabilistic analysis of RNA shapes
Published in
BMC Biology, February 2006
DOI 10.1186/1741-7007-4-5
Pubmed ID
Authors

Björn Voß, Robert Giegerich, Marc Rehmsmeier

Abstract

Soon after the first algorithms for RNA folding became available, it was recognised that the prediction of only one energetically optimal structure is insufficient to achieve reliable results. An in-depth analysis of the folding space as a whole appeared necessary to deduce the structural properties of a given RNA molecule reliably. Folding space analysis comprises various methods such as suboptimal folding, computation of base pair probabilities, sampling procedures and abstract shape analysis. Common to many approaches is the idea of partitioning the folding space into classes of structures, for which certain properties can be derived.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
United States 2 4%
Germany 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 14 25%
Professor 7 13%
Student > Master 5 9%
Professor > Associate Professor 4 7%
Other 5 9%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 49%
Computer Science 12 22%
Biochemistry, Genetics and Molecular Biology 6 11%
Physics and Astronomy 2 4%
Chemistry 2 4%
Other 3 5%
Unknown 3 5%