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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

workflow-image

Technical Parameters

Sequencing rangemiRNA
Sequencing strategyNGS PE150
Sequencing throughput3Gb (10M reads)
Data qualityFastq files, Q30≥85%
Data analysisStandard analysis
TATStandard: 35 WD

Applications

Cancer Diagnosis and PrognosisTherapeutic Target Identificationiral Infection Studies
Biomarker DiscoveryDevelopmental BiologyEnvironmental 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

yesHigh Sensitivity
yesComprehensive Coverage
yesBias-Free Analysis

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