Our microbial diversity analysis platform based on 16S/18S/ITS amplicon sequencing aims to characterize microbial diversity efficiently and economically by utilizing the next/third generation sequencing technology and other molecular technologies. Our scientists utilize this platform to assist our customers for meeting both scientific and regulatory requirements.
We are dedicated to providing outstanding customer service, listening to customer requests and being reachable at all times.
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Our integrated and novel microbial diversity detection platform delivers high-throughput, and accurate 16S/18S/ITS analysis via a combination of advanced sequencing technology and quantitative PCR (q-PCR). This platform allows both short-read 16S/18S/ITS sequencing by next-generation sequencing technology and full-length 16S/18S/ITS sequencing by PacBio SMRT sequencing or Nanopore sequencing. The results are validated by Sanger sequencing or q-PCR with genus- and species-specific primers. Quantitative PCR can also be used to quantify microbial species.
Our microbial diversity analysis platform can be used for both prokaryotic diversity analysis (e.g. bacteria, archaea, actinomycetes) and eukaryotic diversity analysis (e.g. fungi, yeast) based on the role of 16S and 18S/ITS as the molecular marker in prokaryotes and eukaryotes (especially fungi), respectively. Our platform has supported multiple fields, including scientific research, human/animal health, pharmaceutical industry, agriculture, environment, food & beverage, and manufacturing industry.
Our bioinformatics analysis includes five parts: species annotation, diversity analysis, evolutionary analysis, functional profiling, and correlation analysis. For advanced bioinformatics analysis in detail, please refer to the following table.
| Bioinformatics analysis | The problem to be solved | |
|---|---|---|
| Species annotation | OTU clustering, species annotation | |
| Diversity analysis | α diversity | Species richness within a single microbial ecosystem |
| β diversity | Diversity in microbial community between different environments | |
| Meta-analysis | Comparative studies of abundant features between datasets | |
| Evolutionary analysis | Construction of phylogenetic tree | |
| Functional analysis | Analysis of the Intestinal Microflora | Locate the gut bacteria, predict human disease, and provide disease treatment |
| PICRUSt | Predict functional profiles | |
| FAPROTAX | Predict the process of biochemical cycles | |
| Tax4fun | Predict functional profiles | |
| FunGuild | Predict the ecological roles of eukaryotes | |
| Correlation analysis | CCA | Study the relationships between microbes and environmental factors |
| VPA | ||
| Network analysis | ||
OD260/230 ≥ 1.8, 1.8 < OD260/280 < 2.0, no degradation or contamination.
Illumina platform: DNA amount ≥ 300 ng, PCR Products ≥ 400 ng
PacBio platform: gDNA ≥ 100 ng, PCR Products ≥ 400 ng
Deliverables: raw sequencing data (FASTQ), trimmed and stitched sequences (FASTA), quality-control dashboard, q-PCR data, statistic data, and your designated bioinformatics report.
Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to info@cd-genomics.org for inquiries.
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