Survey of Computational Algorithms for MicroRNA Target Prediction

Survey of Computational Algorithms for MicroRNA Target Prediction

MicroRNAs (miRNAs) are 19 to 25 nucleotides non-coding RNAs known to possess important post-transcriptional regulatory functions. Identifying targeting genes that miRNAs regulate are important for understanding their specific biological functions. Usually, miRNAs down-regulate target genes through binding to the complementary sites in the 3' untranslated region (UTR) of the targets. In part, du...

Computational Methods for MicroRNA Target Prediction

MicroRNAs (miRNAs) are important players in gene regulation. The final and maybe the most important step in their regulatory pathway is the targeting. Targeting is the binding of the miRNA to the mature RNA via the RNA-induced silencing complex. Expression patterns of miRNAs are highly specific in respect to external stimuli, developmental stage, or tissue. This is used to diagnose diseases suc...

Analysis of the Computational Methods Available for MicroRNA Target Prediction

Biochemistry 218: Computation Molecular Biology MicroRNAs (miRNAs) are non-coding, endogenous RNAs that make up a vast post-transcriptional regulatory network in cells. Processed from primary transcripts that are translated from miRNA genes, mature miRNAs are usually 19-25 nucleotides long. More than 4000 miRNAs have been identified in the genomes of over 80 species. Mature miRNAs are thought t...

Comparison and Integration of Target Prediction Algorithms for microRNA Studies

microRNAs are short RNA fragments that have the capacity of regulating hundreds of target gene expression. Currently, due to lack of high-throughput experimental methods for miRNA target identification, a collection of computational target prediction approaches have been developed. However, these approaches deal with different features or factors are weighted differently resulting in diverse ra...

Chapter 4 Comparison and Integration of Target Prediction Algorithms for microRNA Studies