Analysing RNA-kinetics based on folding space abstraction. Huang, J. & Voß, B. BMC Bioinformatics, 15(1):60, February, 2014. 00001 bibtex*:Huang:2014
Analysing RNA-kinetics based on folding space abstraction [link]Paper  doi  abstract   bibtex   
RNA molecules, especially non-coding RNAs, play vital roles in the cell and their biological functions are mostly determined by structural properties. Often, these properties are related to dynamic changes in the structure, as in the case of riboswitches, and thus the analysis of RNA folding kinetics is crucial for their study. Exact approaches to kinetic folding are computationally expensive and, thus, limited to short sequences. In a previous study, we introduced a position-specific abstraction based on helices which we termed helix index shapes (hishapes) and a hishape-based algorithm for near-optimal folding pathway computation, called HiPath. The combination of these approaches provides an abstract view of the folding space that offers information about the global features. PMID: 24575751
@article{huang_analysing_2014,
	title = {Analysing {RNA}-kinetics based on folding space abstraction},
	volume = {15},
	copyright = {2014 Huang and Voß; licensee BioMed Central Ltd.},
	issn = {1471-2105},
	url = {http://www.biomedcentral.com/1471-2105/15/60/abstract},
	doi = {10.1186/1471-2105-15-60},
	abstract = {RNA molecules, especially non-coding RNAs, play vital roles in the cell and their biological functions are mostly determined by structural properties. Often, these properties are related to dynamic changes in the structure, as in the case of riboswitches, and thus the analysis of RNA folding kinetics is crucial for their study. Exact approaches to kinetic folding are computationally expensive and, thus, limited to short sequences. In a previous study, we introduced a position-specific abstraction based on helices which we termed helix index shapes (hishapes) and a hishape-based algorithm for near-optimal folding pathway computation, called HiPath. The combination of these approaches provides an abstract view of the folding space that offers information about the global features.
PMID: 24575751},
	language = {en},
	number = {1},
	urldate = {2014-03-17},
	journal = {BMC Bioinformatics},
	author = {Huang, Jiabin and Voß, Björn},
	month = feb,
	year = {2014},
	note = {00001
bibtex*:Huang:2014},
	keywords = {Abstraction, Folding space, Kinetics, RNA},
	pages = {60}
}

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