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This microRNA database and microRNA targets databases is a compilation of databases and web portals and servers used for microRNAs and their targets. MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (ncRNAs) that regulate gene expression by targeting messenger RNAs.
miRBase: the microRNA database; PolymiRTS: a database of DNA variations in putative microRNA target sites; PolyQ: database of polyglutamine repeats in disease and non-disease associated proteins; Rfam: a database of RNA families; IRESbase: A comprehensive database of experimentally validated internal ribosome entry sites. [14]
miRBase grew from the microRNA registry resource set up by Sam Griffiths-Jones in 2003. [7] According to Ana Kozomara and Sam Griffiths-Jones miRBase has five aims: [1] To provide a consistent naming system for microRNAs; To provide a central place collecting all known microRNA sequences; To provide human and computer readable information for ...
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.
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 microRNA precursor miR-17 family, includes miR-20a/b, miR-93, and miR-106a/b. With the exception of miR-93, these microRNAs are produced from several microRNA gene clusters, which apparently arose from a series of ancient evolutionary genetic duplication events, and also include members of the miR-19, and miR-25 families. [1]
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.
The miR-29 microRNA precursor, or pre-miRNA, is a small RNA molecule in the shape of a stem-loop or hairpin. Each arm of the hairpin can be processed into one member of a closely related family of short non-coding RNAs that are involved in regulating gene expression . [ 1 ]