Whole Genome Sequencing Data Analysis

Whole Genome Sequencing Data Analysis Online Inquiry

CD Genomics provides whole genome sequencing data analysis service. We can mine the genetic variation at the DNA level based on the whole genome sequencing data by virtue of the excellent bioinformatic analysis technology. Our unique skills in data analysis can meet customers' personalized data analysis needs and provide you with comprehensive data analysis results.

Introduction to Whole Genome Sequencing Data Analysis

Whole Genome Sequencing (WGS) is the use of high-throughput sequencing method to sequence the whole genome of individuals or groups to find sequence or structural variation and other information. For species with known genomes, genome sequencing is carried out on different individuals (such as patients and normal individuals) or different tissues of an individual (such as diseased tissues and normal tissues). Differences between individuals or between tissues and cells can be found at the overall level. Through this method, we can find a large number of variation information such as Single nucleotide Variants (SNV) Insertion Deletion (Indel), Structural Variation (SV) and Copy Number Variation (CNV), so as to find the pathogenic genes and mutations of the disease, analyze the pathogenesis of the disease, population genetic mechanism and obtain population genetic characteristics.

Copy number variations and structure variation Fig.1 copy number variations and structure variation. (Shu Y; et al.2018)

Application Direction

Whole genome sequencing analysis can be used for but is not limited to the following research.

◎ Single gene inherited disease◎ Complex disease

◎ Cancer research◎ Mutation site

◎ DNA testing 

CD Genomics Data Analysis Workflow

Pipeline for whole genome sequencing data analysis - CD Genomics

Turnaround Time

Turnaround Time

About one to two weeks, depending on the number of samples and the size of the sample data.

Bioinformatics For Whole Genome Sequencing

◎ Data quality control, remove joint contamination and low quality data;
◎ Align to reference genome sequence, statistical sequencing depth and coverage;
◎ SNP / InDel / SV / CNV detection, annotation and statistics;
◎ Circos diagram display of genome variation;

In addition, we can tailor the content of whole-genome biological information analysis according to your specific project needs.

CD Genomics provides general analysis and customized analysis of whole genome 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 contact us for more detailed information.

Reference

  1. Shu Y; et al. Prognostic significance of frequent CLDN18-ARHGAP26/6 fusion in gastric signet-ring cell cancer. Nature Communications. 2018, 9(1):2447.
* For Research Use Only. Not for use in diagnostic procedures.
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