CD Genomics uses bioinformatics to provide long non-coding RNA sequencing data analysis and help you carry out accurate long non-coding RNA identification and long non-coding RNA target gene prediction on samples with reference genomes. Our unique data analysis skills and the right software will exceed our clients' expectations on personalized laboratory data analysis and provide the most easy-to-interpret data analysis reports.
Introduction to LncRNA Data Analysis
Long non-coding RNA (LncRNA) is a non-coding RNA with unique regulatory functions that has attracted widespread attention in recent years. LncRNA is over 200 nt in length. It does not encode proteins, and is poorly conserved among species. The sequence structure of some LncRNAs is similar to that of mRNA (containing polyA tails, with variable splicing). By combining with DNA, RNA or protein, long non-coding RNA can regulate gene expression at the level of epigenetics, transcription and post-transcription.
The cutting-edge bioinformatic analysis technology can be used to accurately screen lncRNA, predict target genes, analyze the mRNAs in transcripts, comparative analysis of mRNA and lncRNA, and construct a co-expression network about mRNA and lncRNA. At present, sequencing analysis of lncRNA has been widely used in medical and agricultural research fields. Studies have shown that lncRNA is closely related to the growth and development of animals and plants, and the occurrence of human diseases. It can also be used as a marker or an important target for disease diagnosis.
Fig 1. Heatmap depiction of the differentially expressed lncRNAs among different samples.(Niknafs Y S, et al. 2016)
Application Field
Long non-coding RNA data analysis can be used for but not limited to the following research:
Medical research
Cancer research
Agricultural Research Field
Species improvement
Advantages of CD Genomics
Scientific scheme design.
Strict quality control management.
Professional analysis team.
Rich project experience.
High-quality project service.
CD Genomics Data Analysis Pipeline
Bioinformatic Analysis Content
CD Genomics has adopted a rigorous analysis process. The system collects the lncRNA database to identify known lncRNA and sets strict screening conditions for discovering new lncRNA. In addition, the analysis content is comprehensive. We carry out the correlation analysis of lncRNA and mRNA, and deeply analyze the lncRNA regulatory network.
| 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 |
The target genes of differentially expressed lncRNA are intersected with differentially expressed mRNA. |
| Construction of lncRNA-mRNA Co-expression Network |
If you have other omics data, such as circular RNA omics data, we can provide joint analysis of multiple omics. In addition, if any custom service on IncRNA sequencing is needed, please contact our technical support. We will customize scientific analysis strategies and provide reliable analysis results for you. For analysis content, price, cycle, or any other questions, please click online inquiry.
How It Works
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 provides general analysis and customized analysis of lncRNA sequencing data analysis. Experienced teams of scientists, researchers, and technicians, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please feel free to contact us for more detailed information.
Reference
- Niknafs Y S, et al. The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression[J]. Nature Communications, 2016, 7:12791.
