Metatranscriptome Analysis

Metatranscriptome Analysis

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CD Genomics uses bioinformatics to provide metatranscriptome sequencing data analysis that can analyze the dynamic changes of microbial flora comprehensively. Our high-quality data analysis platform will be used to generate high-quality analysis reports in a fast analysis cycle.

Introduction to Metatranscriptome Analysis

Metatranscriptome sequencing is a new sequencing technology that performs high-throughput sequencing on the RNA of all microorganisms in a sample in a specific period and a specific environment, and directly obtains the information of all microorganisms in that environment. Compared with metagenome, metatranscriptome contains not only microbial species information, but also microbial gene expression information. Thus, the complex microbial community changes can be studied from the transcription level, and potential new genes can be better tapped.

Information mining of metatranscriptome data is carried out by bioinformatics, and the microbial species, genes, pathways and other information are analyzed from the G-based high-throughput sequencing data. It is possible to study the transcription of the entire genome of a group of microorganisms and the regulation of transcription regulation in a specific environment and a certain period of time, which can help to mine the functional genes of microorganisms and explore the mechanism of the relationship between microorganisms and the environment, diseases, animals and plants.

Metabolic circuit map constructed from the cryptophyte subset of the metatranscriptome.Fig 1. Metabolic circuit map constructed from the cryptophyte subset of the metatranscriptome. (Qiu D, et al. 2016)

Application Field

Metatranscriptome sequencing data analysis can be used for but not limited to the following microorganisms. For other type of microorganisms, Please contact us.

Soil microorganisms

Silt microorganism 

Oral microorganisms

Marine microorganisms

Sewage microorganisms

Gut microbes

Fecal microorganisms

Microbes in extreme environments

Advantages of CD Genomics

A complete and highly accurate analysis pipeline

An experienced analytical team.

Strict data quality control.

Reliable analysis results.

Fast analysis cycle.

CD Genomics Data Analysis Pipeline

CD Genomics metatranscriptome sequencing data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

CD Genomics has a complete, efficient, sensitive and highly accurate metatranscriptome analysis pipeline. In addition to gene expression analysis and differential gene expression analysis, we can also perform species annotation and classification analysis, comparative analysis between multiple samples, etc.

Data preprocessing Data quality control
Data statistics
Map microbial genomes
Map housekeeping gene
Map nr database
Clean rRNA
Transcript assembly Non-redundant transcript
Cluster analysis
Gene structure prediction
Unigene analysis
Function annotation KEGG annotation
Pfam annotation
COG annotation
GO annotation
Swissprot annotation
Gene expression analysis Gene differential expression analysis
GO enrichment analysis of differentially expressed genes
KEGG enrichment analysis of differentially expressed genes

For macro transcriptome sequencing data analysis and other personalized analysis needs, please contact us by using the online inquiry and we will provide you with a reasonable analysis plan.

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.

How It Works

CD Genomics has successfully conducted metatranscriptome sequencing data analysis on a variety of microorganisms. If you are interested in our services, please contact us for more detailed information, and a CD Genomics representative is ready to answer your questions and get a complete understanding of your needs.


  1. Qiu D, et al. Cryptophyte farming by symbiotic ciliate host detected in situ[J]. Proceedings of the National Academy of Sciences, 2016:201612483.
* For Research Use Only. Not for use in diagnostic procedures.
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