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CoBaltDB is a novel powerful platform that provides easy access to the results of multiple localization tools and support for predicting prokaryotic protein localizations. [15] 2010 ComiR: ComiR is a web tool for combinatorial microRNA (miRNA) target prediction.
The gene finder is based on a hidden Markov model (HMM) that is automatically estimated for a new genome. Prokaryotes [8] [9] EuGene: Integrative gene finding: Prokaryotes, Eukaryotes [10] [11] FGENESH: HMM-based gene structure prediction: multiple genes, both chains: Eukaryotes [12] FrameD: Find genes and frameshift in G+C rich prokaryote ...
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 ...
microRNA target gene prediction using a support vector machine. Yes: No: No: webserver [131] miRror: Based on the notion of a combinatorial regulation by an ensemble of miRNAs or genes. miRror integrates predictions from a dozen of miRNA resources that are based on complementary algorithms into a unified statistical framework: Yes: No: No
ESAT The End Sequence Analysis Toolkit (ESAT) is specially designed to be applied for quantification of annotation of specialized RNA-Seq gene libraries that target the 5' or 3' ends of transcripts. eXpress performance includes transcript-level RNA-Seq quantification, allele-specific and haplotype analysis and can estimate transcript abundances ...
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.
[1] [6] StarBase provides miRFunction and ceRNAFunction web tools to predict the function of ncRNAs (miRNAs, lncRNAs, pseudogenes) and protein-coding genes from the miRNA and ceRNA [7] regulatory networks.
Some are specialized for eukaryotic proteins, [6] some for human proteins, [7] and some for plant proteins. [8] Methods for the prediction of bacterial localization predictors, and their accuracy, have been reviewed. [9] In 2021, SCLpred-MEM, a membrane protein prediction tool powered by artificial neural networks was published. [10]