CD Genomics is a whole transcriptome sequencing data analysis provider. We use bioinformatics to explore the interaction between mRNA and non-coding RNA in organisms quickly and accurately. Our high-quality data analysis platform will be used to generate high-quality analysis results in a fast analysis cycle.
Introduction to Whole Transcriptome
The narrow transcriptome contains only mRNA by default, while the whole transcriptome refers to the collection of all transcripts in a cell or tissue, including mRNA and non-coding RNA. At present, the research of non-coding RNA is mainly focused on small RNA (represented by miRNA), long non-coding RNA (lncRNA) and circular RNA (circRNA) with regulatory function. The regulatory objects of these types of ncRNA are all related to mRNA.
Bioinformatic analysis of the whole transcriptome sequencing data can detect a large number of miRNA, lncRNA and circRNA while detecting mRNA. Analysis of the expression level and function of the whole transcriptome and the regulatory network between them can quickly, comprehensively, and accurately obtain data information related to all transcripts of a specific biological process.
Fig 1. Construction of the circRNA-miRNA co-expression network. (Dou C, et al. 2016)
Application Field
Whole transcriptome sequencing data analysis can be used for but is not limited to the following research:
Disease progression studies
Growth of animals and plants
Cell differentiation and development
Plant stress resistance
Tumor development and metastasis
Advantages of CD Genomics
Well-designed analysis process and fast delivery
Rich and in-depth analysis content
Personalized analysis and chart making
Rich experience in whole transcriptome data analysis
CD Genomics Data Analysis Pipeline
Bioinformatics Analysis Content
CD Genomics provides whole transcriptome biological data analysis including RNA interaction patterns and ceRNA competition network analysis, etc., which makes the research related to regulation more comprehensive and three-dimensional.
| Small RNA data analysis |
Data preprocessing |
| Map to reference genome |
| Small RNA identification |
| Sequence analysis |
| Differential expression analysis |
| MiRNA target gene analysis |
| GO enrichment analysis |
| KEGG enrichment analysis |
| Circular RNA analysis |
Data preprocessing |
| Map to reference genome |
| Circular RNA identification |
| Differential expression analysis |
| Circular RNA target gene analysis |
| GO functional classification |
| KEGG metabolic pathway analysis |
| MRNA data analysis |
Data quality control |
| Map to reference genome |
| Data statistics |
| Expression abundance analysis |
| GO functional classification |
| KEGG metabolic pathway analysis |
| Gene differential expression profiling |
| GO enrichment analysis of differential gene |
| KEGG enrichment analysis of differential genes |
| LncRNA data analysis |
Data quality control |
| LncRNA identification |
| Analysis of genes near LncRNA on chromosome |
| LncRNA differential expression analysis |
| LncRNA target gene prediction |
| GO enrichment analysis of differentially expressed target genes |
| KEGG enrichment analysis of differentially expressed target genes |
| Joint analysis |
Target genes analysis |
| Competing endogenous RNA interaction analysis |
| Co-expression network analysis |
| Protein interaction network analysis |
| Key driver gene network analysis |
For whole transcriptome sequencing data analysis, if you have other personalized analysis needs, please contact us, and we will provide you with a reasonable analysis plan. For analysis content, price, cycle, if you have any questions, please click online inquiry.
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 provides comprehensive transcriptomics joint analysis including small RNA, circular RNA, long non-coding RNA, mRNA analysis and interaction analysis between these competing endogenous RNAs. In addition,we provide personalized analysis and charting according to customer needs. CD Genomics has successfully conducted whole transcriptome sequencing data analysis on a variety of samples. 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.
Reference
- Dou C, et al. Changing expression profiles of lncRNAs, mRNAs, circRNAs and miRNAs during osteoclastogenesis[J]. Scientific Reports, 2016, 6:21499.
