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MatPred: Computational Identification of Mature MicroRNAs within Novel Pre-MicroRNAs.

Jin Li | Ying Wang | Lei Wang | Weixing Feng | Kuan Luan | Xuefeng Dai | Chengzhen Xu | Xianglian Meng | Qiushi Zhang | Hong Liang
BioMed research international | 2015

MicroRNAs (miRNAs) are short noncoding RNAs integral for regulating gene expression at the posttranscriptional level. However, experimental methods often fall short in finding miRNAs expressed at low levels or in specific tissues. While several computational methods have been developed for predicting the localization of mature miRNAs within the precursor transcript, the prediction accuracy requires significant improvement.

Pubmed ID: 26682221

Research resources used in this publication

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This is a list of tools and resources that we have found mentioned in this publication.


miRBase (tool)

RRID:SCR_003152

Central online repository for microRNA nomenclature, sequence data, annotation and target prediction.Collection of published miRNA sequences and annotation.

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LIBSVM (tool)

RRID:SCR_010243

An integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM) from the laboratory of Chih-Chung Chang and Chih-Jen Lin. It supports multi-class classification.

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