A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences.
about
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure predictionSimulFold: simultaneously inferring RNA structures including pseudoknots, alignments, and trees using a Bayesian MCMC frameworkA comprehensive comparison of comparative RNA structure prediction approachesPredicting pseudoknotted structures across two RNA sequencesRNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequencesA method for aligning RNA secondary structures and its application to RNA motif detectionRNA motif discovery: a computational overviewSearching for IRESDiscovering cis-regulatory RNAs in Shewanella genomes by Support Vector MachinesTRANSAT-- method for detecting the conserved helices of functional RNA structures, including transient, pseudo-knotted and alternative structuresMaking connections between novel transcription factors and their DNA motifs.Identifying the conserved network of cis-regulatory sites of a eukaryotic genome.Classification and assessment tools for structural motif discovery algorithmsRegRNA: an integrated web server for identifying regulatory RNA motifs and elements.Improving the prediction of RNA secondary structure by detecting and assessing conserved stems.STAR3D: a stack-based RNA 3D structural alignment toolAlternative polyadenylation in glioblastoma multiforme and changes in predicted RNA binding protein profilesComputational prediction of RNA structural motifs involved in posttranscriptional regulatory processesDetecting and comparing non-coding RNAs in the high-throughput eraInformatic resources for identifying and annotating structural RNA motifs.On the importance of cotranscriptional RNA structure formationToward a next-generation atlas of RNA secondary structure.In Silico Prediction of RNA Secondary Structure.A novel method for the identification of conserved structural patterns in RNA: From small scale to high-throughput applications.Regulatory element identification in subsets of transcripts: comparison and integration of current computational methods.PIDA:A new algorithm for pattern identification.RNA FRABASE version 1.0: an engine with a database to search for the three-dimensional fragments within RNA structures.IncMD: incremental trie-based structural motif discovery algorithm.
P2860
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P2860
A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
A graph theoretical approach f ...... oknots in unaligned sequences.
@en
A graph theoretical approach f ...... oknots in unaligned sequences.
@nl
type
label
A graph theoretical approach f ...... oknots in unaligned sequences.
@en
A graph theoretical approach f ...... oknots in unaligned sequences.
@nl
prefLabel
A graph theoretical approach f ...... oknots in unaligned sequences.
@en
A graph theoretical approach f ...... oknots in unaligned sequences.
@nl
P2093
P356
P1433
P1476
A graph theoretical approach f ...... oknots in unaligned sequences.
@en
P2093
Gary D Stormo
Yongmei Ji
P304
P356
10.1093/BIOINFORMATICS/BTH131
P407
P577
2004-02-12T00:00:00Z