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Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competing endogenous RNA (ceRNA) interactions. It is an integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines.
[10] which provide predictions for mammals, zebrafish, insects, and nematodes centered on the genes of human, mouse, zebrafish, Drosophila melanogaster, and Caenorhabditis elegans, respectively. Compared to other target-prediction tools [which?] TargetScan provides accurate rankings of the predicted targets for each miRNA. [6]
psRobot is a web-based tool for plant small RNA meta-analysis. psRobot computes stem-loop small RNA prediction, which aligns user uploaded sequences to the selected genome, extracts their predicted precursors, and predicts whether the precursors can fold into stem-loop shaped secondary structure. psRobot also computes small RNA target ...
microRNA target gene prediction using a support vector machine. Yes: No: No: webserver [131] miRror: Based on the notion of a combinatorial regulation by an ensemble of miRNAs or genes. miRror integrates predictions from a dozen of miRNA resources that are based on complementary algorithms into a unified statistical framework: Yes: No: No
database [4] ceRNAFunction: ceRNAFunction is a web server to predict lncRNA and protein functions from pan-cancer ceRNA networks using 13 functional terms (including: GO, KEGG, BIOCARTA, etc.). webserver [3] [5] Cupid: Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competing endogenous RNA (ceRNA ...
The human genome may encode over 1900 miRNAs, [8] [9] However, only about 500 human miRNAs represent bona fide miRNAs in the manually curated miRNA gene database MirGeneDB. [10] miRNAs are abundant in many mammalian cell types. [11] [12] They appear to target about 60% of the genes of humans and other mammals.
StarBase [2] is a database for decoding miRNA-mRNA, miRNA-lncRNA, [3] miRNA-sncRNA, miRNA-circRNA, [3] miRNA-pseudogene, protein-lncRNA, [4] protein-ncRNA, protein-mRNA interactions, and ceRNA networks [5] from CLIP-Seq (HITS-CLIP, PAR-CLIP, iCLIP, CLASH) and degradome sequencing data.
Rna22 is a pattern-based algorithm for the discovery of microRNA target sites and the corresponding heteroduplexes. [1]The algorithm is conceptually distinct from other methods for predicting microRNA:mRNA heteroduplexes in that it does not use experimentally validated heteroduplexes for training, instead relying only on the sequences of known mature miRNAs that are found in the public databases.