A provider of metagenomics data analysis, CD Genomics uses bioinformatics to help you solve the problems related to environmental microbiology in one stop. Our unique data analysis skills can also meet customers' personalized data analysis needs. We will provide you with a high-quality data analysis platform, a fast analysis cycle and a high-quality result report.
Introduction of Metagenomics Data Analysis
Metagenomics, also known as meta-genomics, takes the entire microbial community in a specific habitat as a research object, without separating and cultivating, and directly extracts DNA from environmental samples for high-throughput measurement. Metagenome sequencing research eliminated the limitation of pure culture of microorganism isolation, expanded the utilization space of microbial resources, and is effective when studying the environmental microbial communities.
Using bioinformatics to analyze the metagenomic sequencing data can mainly study the community structure of environmental microorganisms, species classification, system evolution, gene function activity, metabolic network, the cooperative relationship between microorganisms and the relationship between microorganisms and the environment . Metagenomics sequencing data analysis has been widely used in the field of microbiology.
Fig 1. Phylogenetic tree linking metagenomic sequences from 31 gene families along an oceanic depth gradient at the HOT ALOHA site. (Steven W. K; et al. 2011)
Application Field
The research samples used in metagenomic data analysis can be soil, water, feces, silt and so on.
Community structure.
Species classification.
System evolution.
Disease Research.
Advantages of Metagenomics Data Analysis
Direct analysis of the genomic data of all microbial populations in a specific environment.
Environmental microbes usually coexist and interact in a community manner, and the analysis results of metagenomic sequencing data can reflect the true survival status of microbes more than individual studies.
In addition to analyzing the diversity and abundance of microbial populations, it can also be used to analyze microbial gene functions and involved metabolic pathways, and discover new genes with specific functions.
CD Genomics Data Analysis Pipeline
CD Genomics provides metagenomic data analysis service. We ensure reliability through strict data quality control.
Bioinformatic Analysis Content
Using the method of bioinformatics, the overall microbial community in a specific environment is taken as a research object to obtain the sum of environmental microbial genetic information.
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Sequencing data quality assessment
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Remove adapters
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Filter low-quality reads to ensure data quality
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Gene prediction
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Gene prediction and correlation analysis
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Species
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Species analysis
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Functional notes
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Gene function annotation and related analysis
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CARD
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Correlation analysis of drug resistance genes
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CAG/MLG analysis
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Disease and strain association studies
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CNV analysis
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Strain copy number variation analysis
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Disease association study
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Bacteriophage
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Bacteriophage prediction and analysis
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Pre-bacteriophage prediction and analysis
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Please contact us for details if you are interested in metagenomic data analysis or have other questions. We will provide appropriate biological information analysis content according to your needs.
How It Works
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 has successfully conducted metagenomic data analysis on a variety of samples, such as soil, water, feces, silt. Combined with rich project experience, strict data quality control and professional analysis process, to ensure that the project is carried out accurately and quickly. Please contact us for more information and a detailed quote.
Reference
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Steven W. K; et al. The Phylogenetic Diversity of Metagenomes. PLoS One. 2011; 6(8): e23214.
