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MiRNA target gene query R package and web tools how to use, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

We have introduced the query tools for targeting genes in miRNA many times, but many fans say they don't understand what these things do. Now let me give you an example. You replace cancer with 33 other cancers in TCGA, all similar analysis strategies, similar writing ideas.

For such articles, you can directly locate the materials and methods: The DEMs targeted by DEMIs were identified and the negative correlation between DEMs and DEMIs was subjected to visualization.The potential functions of DEMs targeted by DEMIs were annotated in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database.A total of 663dysregulated DEMs (449 upregulated and 214downregulated) and 33 DEMIs (24 upregulated and 8 downregulated) were identified in LSCC compared with normal controls.502 negative correlations between DEMIs and DEMs were identified and subjected to construct interaction network. Based on the difference analysis of the expression matrix of mRNA and miRNA, we get the set of mRNA and miRNA respectively. Then miRWalk2 is used to query the regulatory relationship between mRNA and miRNA. The input data are 32 different miRNA, and the predicted target mRNA intersect with the previous differential MRNA. Finally, there are 502 regulatory relationships between mRNA and miRNA. This paper mainly consists of the gene list of difference analysis, the heat map and the regulatory network map of mRNA and miRNA. The query tool we introduced about miRNA's targeting genes has played a role here!

MiRNA's query tool for targeting genes, that is to say, difference analysis is no longer enough as the selling point of data mining. Previously, we can take the PPI network plus hub gene route, and now we can take the miRNA and its target gene network route. For each gene regulated by miRNA, the network map can be visualized as follows:

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