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miRNA Sequencing(Plant)

MicroRNA (miRNA) sequencing employs next-generation sequencing (NGS) to identify and quantify miRNAs, crucial regulators of gene expression. This technique supports diverse applications including cancer research, developmental biology, diagnostics, and therapeutic targeting, offering insights into disease mechanisms and potential treatments.

Work flow
Technical Parameters
Sequencing range miRNA
Sequencing strategy NGS PE150
Sequencing throughput 3Gb (10M reads)
Data quality Fastq files, Q30≥85%
Data analysis Standard analysis
TAT Standard: 35 WD
Applications
Cancer Diagnosis and Prognosis Therapeutic Target Identification Viral Infection Studies
Biomarker Discovery Developmental Biology Environmental Impact Research
Bioinformatics Analysis
1.Data filtering
2.Genome mapping
3.Identification of non-coding RNA
4.Novel miRNA prediction and homology analysis
5.Novel siRNA prediction
6.Expression of non coding RNAs
Expression of miRNA
Expression of tRNA
Expression of siRNA
Expression of snoRNA
7.Difference analysis of snc-RNAs
Differentially expressed miRNA
Differentially expressed tRNA
Differentially expressed siRNA
Differentially expressed snoRNA
8.Time Clustering analysis
TimeClustering of miRNA
TimeClustering of siRNA
TimeClustering of snoRNA
9.Cluster analysis of snc-RNAs
Cluster analysis of miRNA
Cluster analysis of siRNANA targets
10.Venn analysis of snc-RNAs
Venn plot of miRNA
Venn plot of tRNA
Venn plot of siRNA
Venn plot of snoRNA
11.Target prediction
Target prediction of miRNA
12.Gene Ontology Enrichment Analysis
GO enrichment of miRNA targets
13.Pathway Enrichment Analysis
Pathway Enrichment Analysis of miRNA targets
Advantages
High Sensitivity
Comprehensive Coverage
Bias-Free Analysis
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