As one of the leading providers of 16S/18S/ITS amplicon sequencing data analysis, CD Genomics uses bioinformatics to help you detect the diversified environmental microorganisms in one step. Our unique data analysis platform can also meet customers' personalized data analysis needs and provide you with a fast analysis cycle and a high-quality result report.
16S rDNA has been the most commonly used molecular clock in bacterial taxonomic research. Its sequence contains 9 variable regions and 10 constant regions. The variable region varies with bacteria, and the degree of variation is closely related to the phylogeny of bacteria. By detecting the sequence variation and abundance of 16S rDNA, we can understand the bacterial diversity in environmental samples. 16S rDNA-based analysis hence plays an important role in microbial classification and identification, micro-ecological research, etc.
18S rDNA or ITS (Internal Transcribed Spacer) is widely used in the classification and identification of fungi. 18S rDNA is more suitable for the classification of phylogenetic level or above in phylogenetic studies; ITS belongs to a moderately conserved region, and can be used to study species and sub-classic categorical steps.
Fig 1. Pie chart of microbial abundance in different parts of the reproductive tract. (Chen C, et al.2017.)
The relationship between human microorganisms and human health or disease.
Agricultural rhizosphere microorganisms, the effects of plant interaction, fertilization on soil and soil microbial community.
Animal intestine, animal health and nutrition digestion research.
Research on sewage treatment, marine pollution and petroleum degradation.
Microbial groups under extreme environmental conditions such as glaciers and volcanoes.
Scientific scheme design.
Strict quality control management.
Professional analysis team.
Rich project experience.
High-quality project service.An experienced analytical team.
Unearthing key information from the complicated 16S/18S/ITS amplicon sequencing data is the top priority of microbiology research. The standard bioinformatic analysis process is not enough to discover all the important information in the data. CD Genomics analysis team not only provides customers with standardized and advance analysis contents that has been rigorously tested and evaluated, we can also provide a full range of personalized custom analysis services in accordance with customer project needs.
Data preprocessing | Sequencing data statistics |
Remove adapter sequence and low-quality sequence | |
Feature table construction | |
Species classification | Histogram of species abundance |
Phylogenetic evolution analysis | |
Species abundance heatmap | |
Diversity analysis | Alpha diversity analysis (Observed species, ace, Shannon, Chao1, Simpson, Rarefaction Curve) |
Βeta diversity analysis (Group significance boxplots, PCoA, UPGMA) | |
Species difference analysis | ANCOM analysis |
LEfSe analysis | |
Functional Analysis | PicRust analysis |
For any custom request on single 16S / 18S / ITS amplicon sequencing data analysis, such as enterotype analysis, bayesian network diagram and source analysis of microbial communities in samples, we will provide the right biological information analysis content according to your needs. For any questions on analysis content, price, or cycle, please use online inquiry.
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
CD Genomics provides general and customized analysis of 16S / 18S / ITS amplicon sequencing data. With experienced team of scientists, researchers, and technicians, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our scientists directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.
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