CD Genomics as one of the providers of transcriptome biological information data analysis, we provide analysis of transcriptome raw data of different sequencing platforms, different samples, and different sequencing depths, maximizing the mining of data information, and providing visual results reports.
The transcriptome refers to the sum of all gene transcription products in a cell under a certain state or a certain physiological condition, including messenger RNA, ribosomal RNA, transport RNA, and non-coding RNA; in a narrow sense, it refers to the collection of all mRNAs. Transcriptomics is the study of gene expression at the RNA level, and is an important means of studying cell phenotype and function.
Transcriptome is the link of the proteome that connects the genetic information of the genome and biological functions. The regulation of the transcription level is the most important and the most widely studied way of organism regulation. Unlike the genome, the transcriptome is more spatial and temporal. Through the bioinformatics analysis of transcriptomics data, the function of corresponding unknown genes can be inferred and the action mechanism of specific regulatory genes can be revealed. The quantitative analysis of transcripts can understand the activity and expression of specific genes and can be used in the diagnosis and treatment of diseases. Through the study of transcriptomics, it can also promote the development of personalized medical treatment.
◎ Data preprocessing.
◎ Data statistics and quality assessment.
◎ Transcript expression analysis.
◎ Differentially expressed gene analysis.
◎ Cluster analysis.
◎ GO enrichment analysis.
◎ KEGG enrichment analysis.
◎ Interaction network analysis.
CD Genomics analysis team not only provides standardized biological information analysis content, but also provides personalized customized analysis services according to customer project needs. For more information, please feel free to contact us.