Correlation heatmap
Integrated Analysis of 16S Amplicon Sequencing and High-Throughput qPCR Chip
Integrated Analysis of 16S Amplicon Sequencing and High-Throughput qPCR Chip
Product Introduction
The 16S rDNA gene is the most commonly used molecular marker for prokaryotic microbial systematics and evolutionary classification studies, widely applied in microbial ecology. The quantitative method of high-throughput qPCR (HT-qPCR) chip detection technology overcomes the challenges of co-effect and precise quantification associated with sequencing-based omics approaches, and has been widely used to describe and explain the functional structure of microorganisms in various ecosystems.
List of high-throughput qPCR Chip products
Product | Number of Detected Gene Primers (Including 16S Genes) | Number of Samples Detected per Chip (Including 3 Technical Replicates) |
Antibiotic Resistance Gene Chip (384P) | 384 | 4 |
Antibiotic Resistance Gene Chip (144P) | 144 | 12 |
Quantitative Microbial Element Cycling Gene Chip | 72 | 24 |
Arsenic Functional Gene Chip | 80 | 21 |
Heavy Metal Resistance Gene Chip | 96 | 18 |
Virulence Factor Gene Chip | 120 | 14 |
Based on 16S and HT-qPCR chip omics data, screen for differentially abundant microbial communities and functional genes at the 16S and functional gene levels respectively. Then perform integrated analysis based on the correlation of their abundances, revealing the association between specific microbial communities and specific functional genes from multiple angles, which is of significant importance for studying community structure and function.
Advantages of Integrated Analysis
- Validate findings through omics analysis at both the microbial community and functional gene levels.
- Simultaneously explore biological issues from both cause and effect perspectives.
- Elucidate the mechanisms linking microbial communities and functional genes, providing a more comprehensive understanding of species and functional regulation in biological processes.
Analysis Process

Presentation of Analysis Results
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