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10.1186/s12864-020-07291-6 http://scihub22266oqcxt.onion/10.1186/s12864-020-07291-6 33297946!7724624!33297946     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Genomics 2020 ; 21 (1): 884 Nephropedia Template TP {{tp|p=33297946|t=2020. RBPsuite: RNA-protein binding sites prediction suite based on deep learning |pdf=|usr=}}{{33297946}} gab.com Text RBPsuite: RNA-protein binding sites prediction suite based on deep learning JO: BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=33297946 #FOAvip BACKGROUND: RNA-binding proteins (RBPs) play crucial roles in various biological processes. Deep learning-based methods have been demonstrated powerful on predicting RBP sites on RNAs. However, the training of deep learning models is very time-intensive and computationally intensive. RESULTS: Here we present a deep learning-based RBPsuite, an easy-to-use webserver for predicting RBP binding sites on linear and circular RNAs. For linear RNAs, RBPsuite predicts the RBP binding scores with them using our updated iDeepS. For circular RNAs (circRNAs), RBPsuite predicts the RBP binding scores with them using our developed CRIP. RBPsuite first breaks the input RNA sequence into segments of 101 nucleotides and scores the interaction between the segments and the RBPs. RBPsuite further detects the verified motifs on the binding segments gives the binding scores distribution along the full-length sequence. CONCLUSIONS: RBPsuite is an easy-to-use online webserver for predicting RBP binding sites and freely available at http://www.csbio.sjtu.edu.cn/bioinf/RBPsuite/ . Twit Text FOAVip RBPsuite: RNA-protein binding sites prediction suite based on deep learning ????BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=33297946 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33297946 #FOAvip English Wikipedia <ref>{{Cite pmid|33297946}}</ref> RBPsuite: RNA-protein binding sites prediction suite based on deep learning #MMPMID33297946 Pan X; Fang Y; Li X; Yang Y; Shen HB BMC Genomics 2020[Dec]; 21 (1): 884 PMID33297946show ga BACKGROUND: RNA-binding proteins (RBPs) play crucial roles in various biological processes. Deep learning-based methods have been demonstrated powerful on predicting RBP sites on RNAs. However, the training of deep learning models is very time-intensive and computationally intensive. RESULTS: Here we present a deep learning-based RBPsuite, an easy-to-use webserver for predicting RBP binding sites on linear and circular RNAs. For linear RNAs, RBPsuite predicts the RBP binding scores with them using our updated iDeepS. For circular RNAs (circRNAs), RBPsuite predicts the RBP binding scores with them using our developed CRIP. RBPsuite first breaks the input RNA sequence into segments of 101 nucleotides and scores the interaction between the segments and the RBPs. RBPsuite further detects the verified motifs on the binding segments gives the binding scores distribution along the full-length sequence. CONCLUSIONS: RBPsuite is an easy-to-use online webserver for predicting RBP binding sites and freely available at http://www.csbio.sjtu.edu.cn/bioinf/RBPsuite/ . |*Deep Learning[MESH] |*RNA/genetics/metabolism[MESH] |Binding Sites[MESH] |Protein Binding[MESH]RBPsuite: RNA-protein binding sites prediction suite based on deep lea(epmc).pdf DeepDyve Pubget Overpricing