Mining a set of coregulated RNA sequences

Yuh-Jyh Hu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Post-transcriptional regulation, though less studied, is an important research topic in bioinformatics. In a set of post-transcriptionally coregulated RNAs, the basepair interactions can organize the molecules into domains and provide a framework for functional interactions. Their consensus motifs may represent the binding sites of RNA regulatory proteins. Unlike DNA motifs, RNA motifs are more conserved in structures than in sequences. Knowing the structural motifs can help us better understand the regulation activities. In this paper, we propose a novel data mining approach to RNA secondary structure prediction. To demonstrate the performance of our new approach, we first tested it on the same data sets previously used and published in literature. Secondly, to show the flexibility of our new approach, we also tested it on a data set that contains pseudoknot motifs that most current systems cannot identify.

Original languageEnglish
Title of host publicationProceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002
Pages625-628
Number of pages4
DOIs
StatePublished - 1 Dec 2002
Event2nd IEEE International Conference on Data Mining, ICDM '02 - Maebashi, Japan
Duration: 9 Dec 200212 Dec 2002

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Conference

Conference2nd IEEE International Conference on Data Mining, ICDM '02
CountryJapan
CityMaebashi
Period9/12/0212/12/02

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  • Cite this

    Hu, Y-J. (2002). Mining a set of coregulated RNA sequences. In Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002 (pp. 625-628). (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDM.2002.1184014