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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 ...
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.
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.
In bioinformatics, TargetScan is a web server that predicts biological targets of microRNAs (miRNAs) by searching for the presence of sites that match the seed region of each miRNA. [1] For many species, other types of sites, known as 3'-compensatory sites [ 1 ] are also identified.
The relation of miRNA and its target mRNA can be based on the simple negative regulation of a target mRNA, but it seems that a common scenario is the use of a "coherent feed-forward loop", "mutual negative feedback loop" (also termed double negative loop) and "positive feedback/feed-forward loop". Some miRNAs work as buffers of random gene ...
MicroRNA sequencing (miRNA-seq), a type of RNA-Seq, is the use of next-generation sequencing or massively parallel high-throughput DNA sequencing to sequence microRNAs, also called miRNAs. miRNA-seq differs from other forms of RNA-seq in that input material is often enriched for small RNAs. miRNA-seq allows researchers to examine tissue-specific expression patterns, disease associations, and ...
miRTarBase [1] is a curated database of MicroRNA-Target Interactions.As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs.
miRTarCLIP: A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing. dCLIP : dCLIP is a Perl program for discovering differential binding regions in two comparative CLIP-Seq (HITS-CLIP, PAR-CLIP or iCLIP) experiments.