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Protocols

MiRTif specifications

Information


Unique identifier OMICS_14643
Name MiRTif
Alternative name MicroRNA:Target Interaction Filter
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data miRNA:Target interaction pairs or miRNA:Target duplex
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Kuo-Bin Li

Publication for MicroRNA:Target Interaction Filter

MiRTif citations

 (3)
call_split

Genetic Variations Creating MicroRNA Target Sites in the FXN 3′ UTR Affect Frataxin Expression in Friedreich Ataxia

2013
PLoS One
PMCID: 3559822
PMID: 23382970
DOI: 10.1371/journal.pone.0054791
call_split See protocol

[…] fix.com). MiRiFix integrates predictions from Diana microT 3.0 , Target Scan 5.1 , microRNA.org (2008 release; ) and PicTar , as well as RegRNA , Rna22 , FindTar3 (http://bio.sz.tsinghua.edu.cn/) and MiRTif, which is a support vector machine-based miRNA-target filtering-system to distinguish true predicted target sites from false ones . miRNA expression profiling data were accessed through MirZ a […]

library_books

One Decade of Development and Evolution of MicroRNA Target Prediction Algorithms

2012
PMCID: 5054202
PMID: 23200135
DOI: 10.1016/j.gpb.2012.10.001

[…] The positive and negative datasets contain 195 and 21 interactions with experimental support, respectively. In addition, the negative dataset contains 17 interactions inferred from experimental data. MiRTif is available online (http://mirtif.bii.a-star.edu.sg/).•TargetMiner first selects a set of sites based on the seed complementarity. It then uses an SVM classifier (RBF kernel) based on mRNA an […]

library_books

In silico method for systematic analysis of feature importance in microRNA mRNA interactions

2009
BMC Bioinformatics
PMCID: 3087347
PMID: 20015389
DOI: 10.1186/1471-2105-10-427

[…] ethod. Our results prove that stems greatly contribute to recognition of miRNA-target interactions. More systematic analysis of dinucleotide and trinucleotide sequences was carried out in this study. MiRTif uses various k-gram frequencies as features for a triplet SVM classifier to predict pre-miRNA [,]. It is thought that these features represent the real environment for miRNA-target interactions […]

Citations

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MiRTif institution(s)
Institute of Molecular and Cell Biology, Singapore; Center for Systems and Synthetic Biology, National Yang-Ming University, Taipei, Taiwan
MiRTif funding source(s)
The project is partially supported by the National Science Council grant NSC 97-2321-B-010-002-.

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