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.
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 |
Cancer Diagnosis and Prognosis | Therapeutic Target Identification | iral Infection Studies |
Biomarker Discovery | Developmental Biology | Environmental Impact Research |
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
7.Difference analysis of snc-RNAs
8.Time Clustering analysis
9.Cluster analysis of snc-RNAs
10.Venn analysis of snc-RNAs
11.Target prediction
12.Gene Ontology Enrichment Analysis
13.Pathway Enrichment Analysis
High Sensitivity
Comprehensive Coverage
Bias-Free Analysis