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Microbiome Research

Microbiome Research Online Inquiry

Bioinformatics-Analysis, a division of CD Genomics, provides bioinformatics services related to microbiome research. We provide customers with microorganisms data analysis related to various samples such as extreme environments, plants, animals, human intestines, feces, oceans, and soils. With a professional data analysis team, we provide you with customized data analysis services to meet your research needs.

Introduction of Microbiome Research

The microbiome refers to all the genes and genomes of microorganisms such as bacteria, archaea, eukaryotes, viruses, and their surrounding environment. Research shows that the microbiome plays an important role in the nutrient absorption, disease resistance and environmental adaptation of humans, animals and plants. The increase in the throughput of the second-generation sequencing technology and the decline in prices have greatly promoted the development of the microbiome field, allowing researchers to broaden the depth and breadth of the microbiome research objects. It reveals the composition and function of microorganisms in extreme environments, plants, animals, human intestines, oceans, and soil.

In the process of microbial research, the identification of the genetic diversity of microorganisms is a relatively difficult problem, and now it is the most effective method to solve related problems through bioinformatics methods. Bioinformatics technology is based on protein sequences, DNA sequences, RNA sequences, and protein structures. The identification of microorganisms through genetic means can save research costs and accelerate research progress.

Fig 2. Tara Oceans captures novel genetic diversity in the global ocean microbiome. Fig 1. Tara Oceans captures novel genetic diversity in the global ocean microbiome. (Shinichi S, et al. 2015)

Bioinformatics in Microbiome Research

The current common microbiome research technologies, such as amplicons, metagenomics, and macrotranscriptomes, have rapidly promoted the development of the microbiome field. A large amount of microbiome data was also generated. Bioinformatics uses methods including statistics and visualization, network analysis, evolutionary analysis, machine learning and association analysis to perform dimensionality reduction, diversity and functional analysis of microbial data.

Fig 3. CD Genomics bioinformatics data analysis process. - CD Genomics. Fig 2. CD Genomics bioinformatics data analysis process.

What can CD Genomics Do?

We can assist in your microbiome research by offering our proprietary bioinformatics analysis approaches:

Metagenomics Data Analysis, 16S / 18S / ITS Amplicon Sequencing - By labeling the 16S rRNA genes of prokaryotes, the 18S rRNA genes of eukaryotes, and the internal transcribed spacers (ITS), the species composition of the sample is analyzed, and other functional genes carried by the species are further studied through the analysis of metagenomic data.

 Metatranscriptome Analysis, Fungal Resequencing Analysis, Bacterial Resequencing Analysis- By establishing gene expression profiles in microbiome samples, reveal the in-situ function of microbial communities.

CD Genomics relies on years of comprehensive microbiome data analysis experience. Whether your samples come from extreme environments, plants, animals, human intestines, oceans, and soils, we will provide suitable analysis software and analysis strategies according to your analysis needs. In addition, whether you are at the early stages of your research or looking to take your studies to the next phase, we can partner with you to ensure that you meet your research goals. For microbiome research data analysis, if you have any questions, please feel free to contact us for details.

Reference

  1. Shinichi S, et al. Structure and function of the global ocean microbiome.[J]. SCIENCE. 2015,348(6237) 1261359.
* For Research Use Only. Not for use in diagnostic procedures.
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