Title
ncRNA consensus secondary structure derivation using grammar strings.
Abstract
Many noncoding RNAs (ncRNAs) function through both their sequences and secondary structures. Thus, secondary structure derivation is an important issue in today's RNA research. The state-of-the-art structure annotation tools are based on comparative analysis, which derives consensus structure of homologous ncRNAs. Despite promising results from existing ncRNA aligning and consensus structure derivation tools, there is a need for more efficient and accurate ncRNA secondary structure modeling and alignment methods. In this work, we introduce a consensus structure derivation approach based on grammar string, a novel ncRNA secondary structure representation that encodes an ncRNA's sequence and secondary structure in the parameter space of a context-free grammar (CFG) and a full RNA grammar including pseudoknots. Being a string defined on a special alphabet constructed from a grammar, grammar string converts ncRNA alignment into sequence alignment. We derive consensus secondary structures from hundreds of ncRNA families from BraliBase 2.1 and 25 families containing pseudoknots using grammar string alignment. Our experiments have shown that grammar string-based structure derivation competes favorably in consensus structure quality with Murlet and RNASampler. Source code and experimental data are available at http://www.cse.msu.edu/(similar to)yannisun/grammar-string.
Year
DOI
Venue
2011
10.1142/S0219720011005501
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
ncRNA and secondary structure,context-free grammar,pseudoknot
Sequence alignment,Pseudoknot,Context-free grammar,Computer science,Source code,Grammar,Theoretical computer science,Bioinformatics,Non-coding RNA,Protein secondary structure,Alphabet
Journal
Volume
Issue
ISSN
9
SP2
0219-7200
Citations 
PageRank 
References 
3
0.38
23
Authors
3
Name
Order
Citations
PageRank
Rujira Achawanantakun1181.63
Yanni Sun221921.16
Seyedeh Shohreh Takyar330.38