miRNA-SNP AnalysisMethods evaluating impact of SNP on miRNA and their targets
| # | Name | Description | Online/Local | Organism Specific |
Target Prediction Data Needed |
Input Data Required |
References |
|---|---|---|---|---|---|---|---|
| 1 | ADmiRE | Annotative Database of miRNA Elements is a miRNA variant annotation tool which combines miRNA sequence features derived from conservation and variation with biologically important annotations. Framework for microRNA variant annotation and prioritization using human population and disease datasets. | / | Homepage Publication Oct. 10, 2018 Citations: 12 | |||
| 2 | CPSS | CPSS is (a computational platform for the analysis of small RNA deep sequencing data), designed to completely annotate and functionally analyse microRNAs (miRNAs) from NGS data on one platform with a single data submission. | / | Homepage Publication May 9, 2012 Citations: 25 | |||
| 3 | MicroSNiPer | MicroSNiPer predicts the impact of a SNP on putative microRNA targets. | / | Homepage Publication Oct. 7, 2010 Citations: 72 | |||
| 4 | miR2GO | miR2GO is a web-based platform for comparative analyses of human miRNA functions. It includes two programs: miRmut2GO and miRpair2GO. miRmut2GO implements a knowledge-based method to assess the functional effects of genetic and somatic mutations in microRNA seed regions. The functional effects of a mutation are analysed by semantic comparison of enriched gene ontology (GO) annotations of the target gene sets for the wild-type and mutated alleles. miRpair2GO compares the functions of two different miRNAs based on the enriched functional annotations of their target gene sets. | / | Homepage Publication March 10, 2015 Citations: 16 | |||
| 5 | mrSNP | mrSNP provides a web service for researchers working especially with RNA-Seq Data, to predict the impact of a SNP in a 3UTR on miRNA binding. | / | Homepage Publication March 15, 2014 Citations: 26 | |||
| 6 | submiRine | An open-source software package for predicting microRNA target site variants (miR-TSVs) from clinical genomic data sets that measure miRNA expression, gene expression, and genotype. The main benefits of SubmiRine are that it allows for de novo prediction of miR-TSVs from custom data sets - such as those that can be generated from large-scale clinical genomics projects - and provides a methodology to prioritize predicted miR-TSVs by their relative probability of being functional. | / | Homepage Publication March 26, 2015 Citations: 9 |