Titlebook: RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods; Jan Gorodkin,Walter L. Ruzzo Book 2014 Springer Science+Bu

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书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods影响因子(影响力)学科排名




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书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods网络公开度学科排名




书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods被引频次




书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods被引频次学科排名




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书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods年度引用学科排名




书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods读者反馈




书目名称RNA Sequence, Structure, and Function: Computational and Bioinformatic Methods读者反馈学科排名

NUL

最初

Energy-Based RNA Consensus Secondary Structure Prediction in Multiple Sequence Alignments,gorithms. Here we describe the theory and applications of the RNAalifold algorithm. Consensus secondary structure prediction not only leads to significantly more accurate structure models, but it also allows to study structural conservation of functional RNAs.

Gnrh670

, Discovery of Structured ncRNA Motifs in Genomic Sequences,ch based on the CMfinder program as a case study. Applications to genomic screens for novel . structured ncRNAs, including structured RNA elements in untranslated portions of protein-coding genes, are presented.

无意

腐蚀

Energy-Directed RNA Structure Prediction, in thermodynamic equilibrium. However, especially for long RNAs, this need not be the case. In the last section we therefore discuss approaches for predicting RNA folding kinetics and co-transcriptional folding.

礼节

Automated Modeling of RNA 3D Structure,he ParAlign and Infernal programs on RNA family data from Rfam. We also briefly summarize template-free methods for RNA 3D structure prediction. Typically, RNA structures generated by automated modeling methods require local or global optimization. Thus, we also discuss methods that can be used for local or global refinement of RNA structures.

巡回

Concepts and Introduction to RNA Bioinformatics,ods for interactions between RNA and proteins..Here, we introduce the basic concepts of predicting RNA secondary structure relevant to the further analyses of RNA sequences. We also provide pointers to methods addressing various aspects of RNA bioinformatics and computational RNA biology.

commute

Annotating Functional RNAs in Genomes Using Infernal,he Rfam database are used to identify RNAs in the genome of the archaeon ., uncovering some additional RNAs not present in the genome’s initial annotation. Analysis of the results and comparison with family-specific methods demonstrate some important strengths and weaknesses of this general approach.

警告