:: DESCRIPTION
miES is a tool to predict the essentiality or importance of miRNAs with machine learning and sequence features.
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Song F, Cui C, Gao L, Cui Q.
miES: predicting the essentiality of miRNAs with machine learning and sequence features.
Bioinformatics. 2019 Mar 15;35(6):1053-1054. doi: 10.1093/bioinformatics/bty738. PMID: 30165607.
:: DESCRIPTION
MIC is a web server for the above purpose. Using the inputted sequences of pre-miRNA and its mature miRNAs, MIC will calculate the importance score of the given miRNA.
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
:: DESCRIPTION
sTAM is a computational tool for single sample miRNA set enrichment analysis (MSEA).
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Shi J, Cui Q.
sTAM: An Online Tool for the Discovery of miRNA-Set Level Disease Biomarkers.
Mol Ther Nucleic Acids. 2020 Sep 4;21:670-675. doi: 10.1016/j.omtn.2020.07.004. Epub 2020 Jul 10. PMID: 32750560; PMCID: PMC7398894.
:: DESCRIPTION
MIReStruC (miRNA Structural Cluster) is a tool to find microRNA structural clusters at genome scale and from deep sequencing data.
::DEVELOPER
Laboratory of Computational and Quantitative Biology(LCQB)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
A. Mathelier and A. Carbone. (2013)
Large scale chromosomal mapping of human microRNA structural clusters
Nucleic Acids Research. 10.1093/nar/gkt112
:: DESCRIPTION
miR2Gene for gene pattern discovery by enrichment analysis of their microRNA regulators is a web-accessible program, which is used to mine potential patterns for one single gene, multiple genes, and KEGG pathway genes based on miRNA set enrichment analysis of the miRNAs regulating given genes.
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
BMC Syst Biol. 2011 Dec 14;5 Suppl 2:S9. doi: 10.1186/1752-0509-5-S2-S9. Epub 2011 Dec 14.
miR2Gene: pattern discovery of single gene, multiple genes, and pathways by enrichment analysis of their microRNA regulators.
Qiu C1, Wang J, Cui Q.
:: DESCRIPTION
miRQuest is a webserver that enables to the end-user a friendly and standardized software to use the many ab initio tools for miRNA investigation.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
miRQuest: integration of tools on a Web server for microRNA research.
Aguiar RR, Ambrosio LA, Sepúlveda-Hermosilla G, Maracaja-Coutinho V, Paschoal AR.
Genet Mol Res. 2016 Mar 28;15(1). doi: 10.4238/gmr.15016861.
:: DESCRIPTION
RNA22 finds putative microRNA binding sites in the sequence of interest, then identifies the targeting microRNA.
::DEVELOPER
the Computational Medicine Center at the Sidney Kimmel Medical College of Thomas Jefferson University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Bioinformatics. 2012 Dec 15;28(24):3322-3. doi: 10.1093/bioinformatics/bts615. Epub 2012 Oct 16.
Interactive exploration of RNA22 microRNA target predictions.
Loher P1, Rigoutsos I.
:: DESCRIPTION
SVMicrO is a 2-stage SVM based new miRNA target prediction algorithm. It assumes a 2-stage structure including a site support vector machine (SVM) followed by a UTR-SVM. SMVicrO makes prediction based on 21 optimal site features and 18 optimal UTR features, selected by training from a comprehensive collection of 113 site and 30 UTR features.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2010 Sep 22;11:476. doi: 10.1186/1471-2105-11-476.
Improving performance of mammalian microRNA target prediction.
Liu H1, Yue D, Chen Y, Gao SJ, Huang Y.
:: DESCRIPTION
The TargetThermo package uses an energy-based linear regression model to compute predicted expression fold change of a gene caused by a miRNA.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
:: DESCRIPTION
mEAT is the microRNA Enrichment Analysis Tool
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Hafner M, Landthaler M, Burger L, Khorshid M, Hausser J, Berninger P, Rothballer A, Ascano M Jr, Jungkamp AC, Munschauer M, Ulrich A, Wardle GS, Dewell S, Zavolan M, Tuschl T.
Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.
Cell 2010. 141(1):p129-141
