Abstract:
BACKGROUND:Although the needs for analyses of secondary structures of RNAs are increasing, prediction of the secondary structures of RNAs are not always reliable. Because an RNA may have a complicated energy landscape, comprehensive representations of the whole ensemble of the secondary structures, such as the probability distributions of various features of RNA secondary structures are required. RESULTS:A general method to efficiently compute the distribution of any integer scalar/vector function on the secondary structure is proposed. We also show two concrete algorithms, for Hamming distance from a reference structure and for 5'-3' distance, which can be constructed by following our general method. These practical applications of this method show the effectiveness of the proposed method. CONCLUSIONS:The proposed method provides a clear and comprehensive procedure to construct algorithms for distributions of various integer features. In addition, distributions of integer vectors, that is a combination of different integer scores, can be also described by applying our 2D expanding technique.
journal_name
BMC Genomicsjournal_title
BMC genomicsauthors
Mori R,Hamada M,Asai Kdoi
10.1186/1471-2164-15-S10-S6subject
Has Abstractpub_date
2014-01-01 00:00:00pages
S6issn
1471-2164pii
1471-2164-15-S10-S6journal_volume
15 Suppl 10pub_type
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