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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.
PITA, incorporates the role of target-site accessibility, as determined by base-pairing interactions within the mRNA, in microRNA target recognition. webserver, predictions: predictions [16] RepTar: A database of inverse miRNA target predictions, based on the RepTar algorithm that is independent of evolutionary conservation considerations and ...
[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]
An animal miRNA target prediction tool based on miRNA-target complementarity and thermodynamic data. Yes: No: No: sourcecode [130] miTarget: microRNA target gene prediction using a support vector machine. Yes: No: No: webserver [131] miRror
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 ...
It is used especially when the read length of the sequencing machine is longer than the sequenced molecule, like the microRNA case. Deconseq Detect and remove contaminations from sequence data. Erne-Filter [ 26 ] is a short string alignment package whose goal is to provide an all-inclusive set of tools to handle short (NGS-like) reads.
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
StarBase; Content; Description: microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data.: Contact; Research center: Sun Yat-sen University: Laboratory: Key Laboratory of Gene Engineering of the Ministry of Education