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Mining characteristic relations bind to RNA secondary structures

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journal contribution
posted on 2010-01-01, 00:00 authored by Qingfeng Chen, Yi-Ping Phoebe Chen
The identification of RNA secondary structures has been among the most exciting recent developments in biology and medical science. It has been recognized that there is an abundance of functional structures with frameshifting, regulation of translation, and splicing functions. However, the inherent signal for secondary structures is weak and generally not straightforward due to complex interleaving substrings. This makes it difficult to explore their potential functions from various structure data. Our approach, based on a collection of predicted RNA secondary structures, allows us to efficiently capture interesting characteristic relations in RNA and bring out the top-ranked rules for specified association groups. Our results not only point to a number of interesting associations and include a brief biological interpretation to them. It assists biologists in sorting out the most significant characteristic structure patterns and predicting structurefunction relationships in RNA.

History

Journal

IEEE transactions on information technology in biomedicine

Volume

14

Pagination

10 - 15

Location

Piscataway, NJ

Open access

  • Yes

ISSN

1089-7771

eISSN

1558-0032

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, IEEE

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