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Whole Transcriptome Sequencing

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.

Work flow

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Technical Parameters

Sequencing rangelncRNA+circRNA+mRNA+miRNA
Sequencing strategyNGS PE150
Sequencing throughput15Gb lncRNA+circRNA+mRNA3Gb
miRNA
Data qualityFastq files, Q30≥85%
Data analysisStandard analysis
TATStandard: 35 WD

Applications

Gene Expression ProfilingAlternative Splicing and Isoform DiscoveryTranscriptome Annotation
Disease Research and Biomarker DiscoveryNon-coding RNA CharacterizationDevelopmental Biology

Bioinformatics Analysis

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.

  • 3.1 Prediction of miRNA target molecules
  • 3.2 Statistics on miRNA Response Elements
  • 3.3 miRNA-lncRNA Association Analysis
  • 3.4 miRNA-circRNA Association Analysis
  • 3.5 miRNA-mRNA Association Analysis
  • 3.6 lncRNA-mRNA Association Analysis
  • 3.7 circRNA-mRNA Association Analysis
  • 3.8 lncRNA-miRNA-mRNA Association Analysis
  • 3.9 circRNA-miRNA-mRNA Association Analysis
  • 3.10 lncRNA-circRNA-mRNA-miRNA Association Analysis

Advantages

yesHigh Sensitivity
yesComprehensive Coverage
yesBias-Free Analysis

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