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Microbial Diversity Analysis – 16S/18S/ITS sequencing


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.

Our Advantages:
  • Targeted region sequencing, enabling a rapid and efficient workflow.
  • Our team consists of more than 70% PhD and Masters-level scientists.
  • Cloud-based platform for bioinformatics analysis.
  • Extensive experience.
  • Advanced sequencing platforms. Both Illumina PE250/300 and PacBio systems are available to satisfy diverse sequencing requirements.
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Introduction to Our Microbial Diversity Analysis Platform

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.

Microbial Diversity Analysis Workflow

Bioinformatics Analysis

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

Sample Requirement

Deliverables: raw sequencing data (FASTQ), trimmed and stitched sequences (FASTA), quality-control dashboard, q-PCR data, statistic data, and your designated bioinformatics report.

Areas of Interest

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