Author: Reeder, Jens; Steffen, Peter; Giegerich, Robert
                    Title: pknotsRG: RNA pseudoknot folding including near-optimal structures and sliding windows  Cord-id: zgv4kd6j  Document date: 2007_5_3
                    ID: zgv4kd6j
                    
                    Snippet: RNA pseudoknots are an important structural feature of RNAs, but often neglected in computer predictions for reasons of efficiency. Here, we present the pknotsRG Web Server for single sequence RNA secondary structure prediction including pseudoknots. pknotsRG employs the newest Turner energy rules for finding the structure of minimal free energy. The algorithm has been improved in several ways recently. First, it has been reimplemented in the C programming language, resulting in a 60-fold increa
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: RNA pseudoknots are an important structural feature of RNAs, but often neglected in computer predictions for reasons of efficiency. Here, we present the pknotsRG Web Server for single sequence RNA secondary structure prediction including pseudoknots. pknotsRG employs the newest Turner energy rules for finding the structure of minimal free energy. The algorithm has been improved in several ways recently. First, it has been reimplemented in the C programming language, resulting in a 60-fold increase in speed. Second, all suboptimal foldings up to a user-defined threshold can be enumerated. For large scale analysis, a fast sliding window mode is available. Further improvements of the Web Server are a new output visualization using the PseudoViewer Web Service or RNAmovies for a movie like animation of several suboptimal foldings. The tool is available as source code, binary executable, online tool or as Web Service. The latter alternative allows for an easy integration into bio-informatics pipelines. pknotsRG is available at the Bielefeld Bioinformatics Server (http://bibiserv.techfak.uni-bielefeld.de/pknotsrg).
 
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