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Full-length Transcriptome Analysis

Full-length Transcriptome Analysis Online Inquiry

As one of the full-length transcriptome sequencing data analysis providers, CD Genomics uses bioinformatics to help you accurately reconstruct the whole picture of the transcriptome. Our unique data analysis skills will exceed customers' expectation on personalized data analysis. We provide a high-quality data analysis platform, a fast analysis cycle, and a high-quality result report.

Introduction of Full-length Transcriptome

Full-length transcriptome research is an important way to understand the functions of biological organisms. Traditional next-generation transcriptome sequencing cannot directly obtain the entire sequence of a single RNA molecule from 5' to 3'. The transcriptome research based on the PacBio three-generation sequencing platform, without interruption, directly read the full-length reverse transcribed cDNA, can effectively obtain the entire sequence of high-quality single RNA molecules. Because no assembly is required, outcome obtained from the transcriptome sequencing is more precise.

Using biological information analysis to analyze the full-length transcriptome sequencing data can more accurately distinguish the isoforms, homologous genes, superfamily genes or alleles that cannot be recognized by second-generation sequencing. In addition, for non-reference genome species, the problems of short transcript splicing and incomplete information can be overcome. Then accurately construct the whole picture of the species transcriptome and provide the data basis for the follow-up scientific research.

Maize PacBio Iso-Seq barcoding library and comparison of isoforms between RefGen_v3 and PacBio data.Fig 1. Maize PacBio Iso-Seq barcoding library and comparison of isoforms between RefGen_v3 and PacBio data. (Wang B , et al. 2016)

Application Field

Construct high-quality gene sets for species without reference sequences, and lay the foundation for subsequent functional studies of species.

Complete reference gene sets for species with reference sequences and identify structural variations such as alternative splicing and gene fusion.

Auxiliary gene annotation.

Advantages of CD Genomics

An experienced data analytical team.

Standardized analysis process.

Strict data quality control.

Reliable analysis results.

Fast analysis cycle.

CD Genomics Data Analysis Pipeline

CD Genomics full-length transcriptome sequencing data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

CD Genomics provide different analysis strategies for sequencing data with and without reference genomes. The following table shows the full-length transcriptome analysis items with reference genomes and without reference genomes.

Sequencing data with reference genomes Data quality control
Transcript classification
Transcript clustering and correction
Compare with reference genome
Perform variable shear analysis
New gene prediction
Fusion gene analysis
Quantitative analysis
Protein coding box prediction
SSR analysis
lncRNA prediction
Functional Analysis
Sequencing data without reference genomes Data quality control
Transcript classification
Transcript clustering and correction
Transcript database notes
Quantitative analysis
lncRNA prediction
CDS prediction
SSR analysis

We will provide personalized custom analysis for full-length transcriptome sequencing data analysis. 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.

How It Works

CD Genomics provides general analysis and customized analysis of full-length transcriptome 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 scientists directly and we will provide prompt response. If you are interested in our services, please contact us for more detailed information.

Reference

  1. Wang B , et al. Unveiling the complexity of the maize transcriptome by single-molecule long-read sequencing[J]. Nature Communications, 2016, 7:11708.
* For Research Use Only. Not for use in diagnostic procedures.
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