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StarScan is developed for scanning small RNA (miRNA, piRNA, siRNA) mediated RNA cleavage events in lncRNA, circRNA, mRNA and pseudo genes from degradome sequencing data. web-based software: website [4] Cupid: Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competing endogenous RNA (ceRNA ...
The study also showed that the findings of the molecular dynamics simulation are supported by HITS-CLIP (CLIP-seq) data. These results suggest that bona fide miRNA targets transcend the canonical seed-model in turn making target prediction tools like rna22 an ideal choice for exploring the newly augmented spectrum of miRNA targets.
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 ...
StarBase also developed Pan-Cancer Analysis Platform to decipher Pan-Cancer Analysis Networks of lncRNAs, miRNAs, ceRNAs, and RNA-binding proteins (RBPs) by mining clinical and expression profiles of 14 cancer types (including more than six thousand samples) from The Cancer Genome Atlas (TCGA) Data Portal.
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) interactions. It is an ...
Databases can be used to pair mRNA- and miRNA-data that predict miRNA-targets based on their base sequence. [150] [151] While this is usually done after miRNAs of interest have been detected (e. g. because of high expression levels), ideas for analysis tools that integrate mRNA- and miRNA-expression information have been proposed. [152] [153]
Name Description Knots [Note 1]Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that the automated predictions ...
The quantity of RNA present is inferred from the probe signal’s intensity. While Northern Blotting is highly specific and helpful for validating high-throughput methods like RNA-seq, it requires a large sample volume, is time-consuming, and lacks precision in quantification analysis. [10] [11]