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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
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.
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 ...
[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.
Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.