Whole Transcriptome Sequencing (RNA-Seq) is a sophisticated technique that sequences all RNA transcripts in a sample, providing detailed insights into gene expression, novel transcripts, and alternative splicing. Widely used in fields like oncology and neurology, RNA-Seq helps researchers understand complex biological processes and identify disease biomarkers with high sensitivity and resolution.
Sequencing range | lncRNA+circRNA+mRNA+miRNA |
Sequencing strategy | NGS PE150 |
Sequencing throughput | 15Gb lncRNA+circRNA+mRNA3Gb miRNA |
Data quality | Fastq files, Q30≥85% |
Data analysis | Standard analysis |
TAT | Standard: 35 WD |
Gene Expression Profiling | Alternative Splicing and Isoform Discovery | Transcriptome Annotation |
Disease Research and Biomarker Discovery | Non-coding RNA Characterization | Developmental Biology |
1.Data Quality Control: The quality of sequencing data is a crucial prerequisite for the reliability of information analysis results. It is necessary to undergo a rigorous quality control process on post-sequencing data to obtain high-quality sequencing data.
2.Basic Whole Transcriptome Analysis: Perform basic analysis on mRNA, lncRNA, circRNA, and microRNA respectively, to identify subsets of differentially expressed molecules.
3.Whole Transcriptome Association Analysis: Based on miRNA target molecule prediction and MRE identification, perform whole transcriptome regulatory network analysis.
High Sensitivity
Comprehensive Coverage
Bias-Free Analysis