As one of the providers of eukaryotic transcriptome without reference genome data analysis, CD Genomics uses bioinformatics to help you quickly and accurately explore the gene expression of species without reference genomes. Our unique data analysis skills can also meet customers' personalized data analysis needs and provide you with a high-quality data analysis platform, a fast analysis cycle and a high-quality report.
Introduction of Eukaryotic Transcriptome Analysis
Transcriptome refers to the collection of all transcripts produced by a particular cell or tissue in a particular 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 (RNA-seq) usually refers to the sequencing of all mRNA.
Transcriptome sequencing of eukaryotes without 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 the method of bioinformatics, the longest transcripts were spliced into unigene as the reference sequence for follow-up analysis. After the transcripts were assembled and annotated by splicing software, the gene expression level and structure information were analyzed in an all-round way to maximize the research content of non-ginseng species. It provides a powerful technical means for studying the changes of transcriptional level, molecular mechanism and regulatory network of species without reference genomes. At present, it has been widely used in a variety of animal and plant research without reference genome, clinical diagnosis, drug research and development, molecular breeding and other fields.
Fig 1. Heatmap and K-means clustering graph.
Application Field
Eukaryotic Transcriptome without Reference Genome sequencing data analysis can be used for, but not limited to, the following research:
Sample full transcript information acquisition
Gene annotation and screening.
Gene differential expression research.
Advantages of CD Genomics
Experienced analytical team
Standardized analysis process
Strict data quality control
Reliable analysis results
CD Genomics Data Analysis Pipeline
CD Genomics provides eukaryotic transcriptome (without reference genome) sequencing data analysis service. We ensure data reliability through strict data quality control.
Bioinformatics Analysis Content
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Transcript assembly
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Quality control of sequencing data
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Transcript assembly
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Assembly quality analysis
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Unigene Expression Statistics
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CDS prediction
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SNP analysis
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SSR analysis
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Transcription factor annotation
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Unigene function annotation
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Annotation of Nr protein database
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SwissProt protein database annotation
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COG/KOG annotation and classification
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GO function annotation and classification
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Pathway metabolic pathway notes
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Differentially expressed gene analysis
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Quantification of gene expression level
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Correlation analysis between samples
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Gene differential expression analysis
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Functional enrichment analysis of differentially expressed genes
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Pathway metabolic pathway annotation of differentially expressed genes
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Protein interaction network analysis of differentially expressed genes
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Visualization of analysis results
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If you need any eukaryotic transcriptome (without reference genome) sequencing data analysis, such as SMART protein domain database 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, strict data quality control and professional analysis process, CD Genomics has successfully conducted eukaryotic transcriptome (without reference genome) sequencing data analysis on a variety of species. We ensure each project is carried out accurately and quickly. Please contact us for more information and a detailed quote.
