Genotyping Analysis

Genotyping Analysis Online Inquiry

As one of the providers of genotyping analysis, CD Genomics uses bioinformatics to help you quickly locate mutations and explore genetic variations. Our unique data analysis skills and appropriate software can meet customers' personalized laboratory data analysis needs and provide easy-to-interpret data analysis reports.

Introduction of Genotyping Analysis

Genotyping is the process of using biological experiments to examine an individual's DNA sequence, and comparing the target sequence with another individual's sequence or reference sequence to determine individual genetic composition (genotype) differences.

Genotyping helps determine differences in the individual's genetic makeup, such as single nucleotide polymorphisms (SNPs) and large structural changes in DNA. Genotyping analysis plays an important role in research of genes and gene variants associated with disease. Next-generation sequencing (NGS) and microarrays enable a deeper understanding of disease etiology on a molecular level. With multiple genomic targets potentially contributing to disease, analysis requires flexibility and accuracy. SNP genotyping and copy number variation (CNV) data analysis tools can analyze results for millions of markers and probes and detect sample outliers, providing insight into the functional consequences of genetic variation. SNP genotyping is also used in many scientific disciplines including personalized medicine, plant and animal biotechnology.

SNP Genotyping data analysis using nanofluidic Dynamic Arrays. Fig 1. SNP Genotyping data analysis using nanofluidic Dynamic Arrays.(Wang J; et al.2009)

Application of Genotyping Analysis

1.Large-scale genome-wide association analysis.
2.Research on disease susceptibility loci and susceptibility genes.
3.Animal and plant variety breeding.
4.Population genetics research.
5.Pharmacogenomics.
6.Diagnostics.

CD Genomics Genotyping Analysis Pipeline

The type of original input data can be different type of microarrays chip data, and next-generation sequencing data such as whole genome sequencing data, whole exome sequencing data and so on. Genotyping results of microarrays chip data are generally generated by the chip company. The following pipeline shows the analysis of genotyping using whole genome sequencing data.

CD Genomics Genotyping Analysis Pipeline - CD Genomics.

Bioinformatics Analysis Content

Genotyping bioinformatic analysis includes (Whole genome sequencing data or whole exome sequencing data) data quality control, variation analysis and so on.

Standard analysis

Quality control of sequencing data

Map to reference genome

SNP detection and annotation

CNV detection and annotation

Indel detection

For genotyping analysis, regardless of whether your input data type is sequencing data or microarrays chip data, if you have personalized customization analysis needs, we will provide appropriate biological information analysis content according to your needs, please feel free to contact us for details.

Turnaround Time

Different data types (microarrays chip data, NGS data or other type of data) need different analysis cycles. For more information, please contact us.

Combining rich project experience, professional project plan guidance, and analysis process, CD Genomics has successfully conducted genotyping analysis on a variety of diseases, animals and plants.  We ensure that the project is carried out accurately and quickly. Please contact us for more information and a detailed quote.

Reference

  1. Wang J; et al. High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays[J]. BMC Genomics, 2009, 10(1):561.
* For Research Use Only. Not for use in diagnostic procedures.
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