As one of the providers of eukaryotic transcriptome with reference genome data analysis, CD Genomics uses bioinformatics to help you thoroughly analyze the genetic code of species quickly and accurately. Our unique data analysis skills can meet customers' personalized data analysis needs and provide easy-to-interpret data analysis reports.
Introduction of Eukaryotic Transcriptome 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, and transcriptome sequencing refers to the sequencing of all mRNAs.
Transcriptome sequencing (RNA-seq) of eukaryotes with reference genomes can quantitatively measure the change in the expression level of each transcript in a specific tissue or cell during growth or under different conditions. Through high-throughput next generation bioinformatic analysis of sequencing data, almost all transcripts of a specific tissue or organ of a species under a certain state can be obtained comprehensively and quickly. By comparing with the reference genome, we can analyze the mRNA sequence and obtain abundance information, but also analyze the gene structure, study SNP, variable splicing, gene structure optimization and new transcripts. Transcriptome sequencing has been widely used in animal and plant biological basic research, clinical diagnosis, and drug research and development.
Fig 1. Dendritic heat map. (Matthew K; Jason R. 2016)
Application Field
Eukaryotic Transcriptome with Reference Genome sequencing data analysis can be used for, but not limited to, the following research:
Gene expression level research.
Gene structure level research.
Gene function.
Interaction network.
CD Genomics Data Analysis Pipeline
CD Genomics provides eukaryotic transcriptome (with reference genome) sequencing data bioinformatic analysis service. We ensure reliability through strict data quality control.
Bioinformatics Analysis Content
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Gene structure level analysis
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Map to reference genome
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New transcript prediction
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New transcript annotation
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Variable splicing prediction
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SNP detection
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InDel detection
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Gene expression level analysis
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Analysis of gene expression level
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Differential gene analysis
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GO enrichment analysis
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KEGG enrichment analysis
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Cluster analysis
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Protein interaction network analysis
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Transcription factor annotation
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If you have any needs for eukaryotic transcriptome (with reference genome) sequencing data analysis, we will provide appropriate biological information analysis content accordingly. Please feel free to contact us for details.
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.
Combining rich project experience, professional project plan guidance and analysis process, CD Genomics has successfully conducted eukaryotic transcriptome (with reference genome) sequencing data analysis on a variety of species. We ensure your project will be carried out accurately and quickly. Please contact us for more information and a detailed quote.
Reference
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Matthew K; Jason R. Using Dendritic Heat Maps to Simultaneously Display Genotype Divergence with Phenotype Divergence.PLoS One,2016; 11(8): e0161292
