CD Genomics uses bioinformatics to provide prokaryotic transcriptome analysis service and help you analyze prokaryotic mRNA information accurately and quickly. Our unique data analysis skills and high-quality data analysis platform will exceed our clients' expectations on personalized data analysis.
Transcriptome refers to the collection of all transcripts produced by a particular cell or tissue of a species in a certain state. It includes messenger RNA, ribosomal RNA, transport RNA and non-coding RNA. In a narrow sense, it refers to the collection of all mRNA. Transcriptome sequencing generally refers to the sequencing of all mRNAs.
Transcriptomics is a powerful tool for understanding gene structures and RNA-based regulation in any organism. Since prokaryotic mRNA does not have a polyA tail structure, it is necessary to use the method of removing rRNA to construct a library to obtain sequencing data. Transcriptome sequencing (RNA-seq) of prokaryotic can quantitatively measure the change in the expression level of each transcript in a specific tissue or cell during growth or under different conditions. The analysis of sequencing data by bioinformatics not only quantitatively analyzes the expression of mRNA, differentially expressed genes, and their corresponding functions, but also analyzes the molecular regulatory mechanisms and functions of Non-coding RNA (sRNAs) to reveal the formation of different phenotypes of microorganisms.
Fig 1. Prokaryotic cell RNA enrichment pipeline. (Sorek R , Cossart P.2009)
Prokaryotic transcriptome sequencing data analysis can be used for but not limited to the following research:
Gene expression level
Gene structure level
Gene function
Interaction network
Standardized analysis process.
Strict data quality control.
Reliable analysis results.
Fast analysis cycle.
An experienced analytical team.
CD Genomics prokaryotic transcriptome bioinformatics analysis project includes not only the analysis of gene expression and differential gene function, but also the analysis of gene structure level.
Gene structure level analysis |
Quality evaluation of sequencing data |
Raw data filtering |
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Map to reference genome |
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New transcript prediction |
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UTR analysis |
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Antisense transcript prediction |
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sRNA analysis |
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SNP detection and analysis |
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InDel analysis |
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Gene expression level analysis |
Gene expression level analysis |
Differential gene expression level analysis |
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GO and KEGG annotation of differential genes. |
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GO/KEGG enrichment analysis of differential genes. |
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Analysis of protein interaction networks |
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Visualization result display |
In addition, CD Genomics provides personalized analysis services for prokaryotic transcriptome data analysis, which can be customized according to customer needs. If you have any questions, please feel free to contact us for details.
CD Genomics is a professional bioinformatics service provider with years of experience in NGS and long read sequencing (PacBio SMRT and Oxford Nanopore platforms) data analysis, integrated analysis services, database construction and other bioinformatics solutions.
CD Genomics has over a decade of experience in prokaryotic transcriptome data analysis. If you have any questions about how we can help you, please get in touch. We look forward to working with you!
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