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The poor overlap between different miRNA target prediction algorithms is well known and the lack of rationale behind filtering of targets by using multiple target prediction algorithms has been demonstrated [25].
To predict target genes, which may be co-regulated by the 3 concordant miRs, we used miRGator, an on-line interface that uses multiple target prediction programs.
To identify changes induced by hypoxia, we conducted mRNA- and miRNA-array-based experiments in HT29 cells, and performed comparative analysis of the resulting data sets based on multiple target prediction algorithms.
We believe our tool is the first to utilize miRNA and mRNA correlation plotting combined with multiple target prediction tools for the analysis of miRNA contributions to transcription regulation in cancer.
The miRGator analysis tool (available at http://genome.ewha.ac.kr/miRGator/miRNAexpression.html), an online interface that uses multiple target prediction algorithms, was then used to identify unknown downstream targets of miR-146a.
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This trend of plant microRNAs to be outside protein-coding genes also holds for our baseset predictions and even stronger for the multiple target predictions (Table 2).
Nevertheless, we provide a very distinct and significant expression profiles supported by multiple target predictions for those microRNAs, which suggest that they might be a new coming group of microRNAs involved in inflammation regulatory networks.
Although the authors chose to solely investigate Bcl2 as a target of these three miRNAs in mediating the beneficial effects of CR, eight additional shared mRNA targets were found using multiple target-prediction algorithms.
Our strategy to use multiple miRNA target prediction algorithms allowed us to compile the largest list of putative targets of the miRNAs that are differently expressed in cervical cancer.
In the analysis of the number of miRNAs with perfect seed matches to Alu consensus and randomized Alu sequences, multiple target site predictions in the same sequence were counted as only one prediction.
In the analysis of the number of target sites per miRNA, multiple target site predictions in the same sequence were counted as separate hits, and the total number of hits for each miRNA seed was normalized per megabase of sequence.
Related(20)
many target prediction
several target prediction
multiple target detection
multiple target binding
multiple localization prediction
multiple coefficient prediction
multiple disorder prediction
multiple location prediction
multiple parameter prediction
multiple miRNA prediction
multiple risk prediction
multiple target tracking
multiple efferent prediction
multiple gene prediction
multiple sclerosis prediction
multiple target localization
multiple regression prediction
multiple structure prediction
multiple function prediction
multiple parallel prediction
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