Constrained RNA structural alignment: Algorithms and application to motif detection in the untranslated regions of Trypanosoma brucei mRNAs
Document Type
Conference Proceeding
Publication Date
12-1-2007
Abstract
In this paper we propose a new method for aligning two RNA secondary structures by taking into account the presence of conserved RNA substructures, or constraints, in the alignment process. Our method allows the incorporation of specific knowledge about the RNA structures being analyzed while computing their alignment and thus is very useful for RNA motif detection. We develop statistical measures to assess the significance of alignment scores. Experimental results obtained by using the constrained alignment method to search for structural motifs in the untranslated regions of Trypanosoma brucei mRNAs demonstrate the good performance of the proposed method and its superiority over existing methods. ©2007 IEEE.
Identifier
47649121789 (Scopus)
ISBN
[1424415098, 9781424415090]
Publication Title
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering Bibe
External Full Text Location
https://doi.org/10.1109/BIBE.2007.4375585
First Page
334
Last Page
341
Recommended Citation
Khaladkar, Mugdha; Bellofatto, Vivian; Wang, Jason T.L.; Patel, Vandanaben; and Nakayama, Marvin K., "Constrained RNA structural alignment: Algorithms and application to motif detection in the untranslated regions of Trypanosoma brucei mRNAs" (2007). Faculty Publications. 13214.
https://digitalcommons.njit.edu/fac_pubs/13214
