Search results for: Human premicroRNA Expression Construct LentimiR1298
#29297389 
2017/09/20
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A novel method to identify pre-microRNA in various species knowledge base on various species.
More than 1/3 of human genes are regulated by microRNAs. The identification of microRNA (miRNA) is the precondition of discovering the regulatory mechanism of miRNA and developing the cure for genetic diseases. The traditional identification method is biological experiment, but it has the defects of long period, high cost, and missing the miRNAs that but also many other algorithms only exist in a specific period or low expression level. Therefore, to overcome these defects, machine learning method is applied to identify miRNAs.Tianyi Zhao, Ningyi Zhang, Ying Zhang, Jun Ren, Peigang Xu, Zhiyan Liu, Liang Cheng, Yang Hu
2061 related Products with: A novel method to identify pre-microRNA in various species knowledge base on various species.
100ul 100ul 100ul 100ul100 ug 50 ug 100ul100ug 100ul50ul 100ul50 ug
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Knockdown and replacement therapy mediated by artificial mirtrons in spinocerebellar ataxia 7.
WHelen J Curtis, Yiqi Seow, Matthew J A Wood, Miguel A Varela
1630 related Products with: Knockdown and replacement therapy mediated by artificial mirtrons in spinocerebellar ataxia 7.
100 μg100ug Lyophilized10 2 48 assays 5 mg100 assays100 MG100 μg100ug
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#25161167 2014/08/26
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Rapid production of novel pre-microRNA agent hsa-mir-27b in Escherichia coli using recombinant RNA technology for functional studies in mammalian cells.
NMei-Mei Li, Wei-Peng Wang, Wen-Juan Wu, Min Huang, Ai-Ming Yu
1169 related Products with: Rapid production of novel pre-microRNA agent hsa-mir-27b in Escherichia coli using recombinant RNA technology for functional studies in mammalian cells.
50 1 mg100 10 10 ug200ul25 1 mg10
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#21436129 2011/03/23
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Prediction of novel pre-microRNAs with high accuracy through boosting and SVM.
High-throughput deep-sequencing technology has generated an unprecedented number of expressed short sequence reads, presenting not only an opportunity but also a challenge for prediction of novel microRNAs. To verify the existence of candidate microRNAs, we have to show that these short sequences can be processed from candidate pre-microRNAs. However, it is laborious and time consuming to verify these using existing experimental techniques. Therefore, here, we describe a new method, miRD, which is constructed using two feature selection strategies based on support vector machines (SVMs) and boosting method. It is a high-efficiency tool for novel pre-microRNA prediction with accuracy up to 94.0% among different species.Yuanwei Zhang, Yifan Yang, Huan Zhang, Xiaohua Jiang, Bo Xu, Yu Xue, Yunxia Cao, Qian Zhai, Yong Zhai, Mingqing Xu, Howard J Cooke, Qinghua Shi