Depth-first search encoding of RNA substructures

Publisher:
Springer
Publication Type:
Conference Proceeding
Citation:
Intelligent Computing Theories and Application, 2016, 9771 pp. 328 - 334
Issue Date:
2016-01-01
Full metadata record
Files in This Item:
Filename Description Size
paper.pdfPublished version256.49 kB
Adobe PDF
© Springer International Publishing Switzerland 2016.RNA structural motifs are important in RNA folding process. Traditional index-based and shape-based schemas are useful in modeling RNA secondary structures but ignore the structural discrepancy of individual RNA family member. Further, the in-depth analysis of underlying substructure pattern is underdeveloped owing to varied and unnormalized substructures. This prevents us from understanding RNAs functions. This article proposes a DFS (depth-first search) encoding for RNA substructures. The results show that our methods are useful in modelling complex RNA secondary structures.
Please use this identifier to cite or link to this item: