类 型
25 篇文献
 
Efficient Parameterized Algorithms for Biopolymer Structure-Sequence Alignment  
Computational alignment of a biopolymer sequence (e.g., an RNA or a protein) to a structure is an effective approach to predict and search for the structure of new sequences. To identify the structure......
IEEE/ACM Transactions on Computational Biology and Bioinformatics  2006
4次引用 0 0
Algorithms for RNA Secondary Structure Analysis: Prediction of Pseudoknots and the Consensus Shapes Approach  
0次引用 0 0
A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences  
Motivation: RNA structure motifs contained in mRNAs have been found to play important roles in regulating gene expres- sion. However, identification of novel RNA regulatory motifs using computational ......
Bioinformatics/computer Applications in The Biosciences  2004
49次引用 0 0
Fast and accurate search for non-coding RNA pseudoknot structures in genomes  
Motivation: Searching genomes for non-coding RNAs (ncRNAs) by their secondary structure has become an important goal for bioinformatics. For pseudoknot-free structures, ncRNA search can be effective b......
Bioinformatics/computer Applications in The Biosciences  2008
3次引用 0 0
Efficient Parameterized Algorithm for Biopolymer Structure-Sequence Alignment  
Abstract. Computational alignment of a biopolymer sequence (e.g., an RNA or a protein) to a structure is an effective approach to predict and search for the structure of new sequences. To identify the......
Algorithms in Bioinformatics  2005
6次引用 0 0
Stochastic Multiple Context-Free Grammar for RNA Pseudoknot Modeling  
Several grammars have been proposed for modeling RNA pseudoknotted struc- ture. In this paper, we focus on multiple context-free grammars (MCFGs), which are natural extension of context-free gram- mar......
4次引用 0 0
RNA Structure Prediction Including Pseudoknots Based on Stochastic Multiple Context-Free Grammar  
Several grammars have been proposed for modeling RNA pseudoknotted structure. In this paper, we focus on multiple context- free grammars (MCFGs), which are natural extension of context-free grammars a......
0次引用 0 0
Grammatical Inference in Bioinformatics  
Bioinformatics is an active research area aimed at developing intelligent systems for analyses of molecular biology. Many methods based on formal language theory, statistical theory, and learning theo......
IEEE Transactions on Pattern Analysis and Machine Intelligence  2005
19次引用 0 0
Formal Grammars for Describing RNA Pseudoknotted Structure and Their Application to Structure Analysis  
Abstract Recently, much attention has been paid to the structure analysis of biologically important molecules such as nucleic acids and proteins. These structures are hierarchically classified into pr......
0次引用 0 0
Computational RNA Structure Prediction  
The view of RNA as simple information transfer molecule has been continuously challenged since the discov- ery of ribozymes, a class of RNA molecules with enzyme-like function. Moreover, the recent di......
Current Bioinformatics  2008
2次引用 0 0

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