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[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]
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.
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 ...
A database of inverse miRNA target predictions, based on the RepTar algorithm that is independent of evolutionary conservation considerations and is not limited to seed pairing sites. database: website [17] RNA22: The first link (predictions) provides RNA22 predictions for all protein coding transcripts in human, mouse, roundworm, and fruit fly.
fastp is a tool designed to provide all-in-one preprocessing for FastQ files. This tool is developed in C++ with multithreading supported. fastq-trim is very fast and memory-efficient tool written in C, following object-oriented design and strict code-quality practices. It runs in a fraction of the time of most popular trimming tools, while ...
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
MicroRNA (miRNA) biosensors are analytical devices that involve interactions between the target miRNA strands and recognition element on a detection platform to produce signals that can be measured to indicate levels or the presence of the target miRNA. Research into miRNA biosensors shows shorter readout times, increased sensitivity and ...
Neural network promoter prediction: Prokaryotes, Eukaryotes [38] NNSPLICE: Neural network splice site prediction: Drosophila, Human [39] ORFfinder: Graphical analysis tool to find all open reading frames: Prokaryotes, Eukaryotes [40] Regulatory Sequence Analysis Tools: Series of modular computer programs to detect regulatory signals in non ...