SNP microarray are DNA microarray, a powerful molecular genetics technology that enables high-throughput analysis of thousands of SNPs in a single experiment, allowing the detection of large numbers of subtle DNA alterations and abnormal alterations related to chromosome copy number or chromosome structural rearrangements, helping researchers to better analyse genetic alterations in plant and animal genomes in a comprehensive manner. DNA microarray. It includes DNA hybridisation, fluorescence microscopy and the fusion of solid surface DNA capture.
CD Genomics provides SNP microarray services to help researchers explore genetic variation from discovery applications to routine screening for SNPs and large structural changes. Our state-of-the-art array platform meets the diverse needs of researchers with high throughput and multiplex processing, and our cost-effective services meet our clients' needs for high quality data at low cost.
Sample source | Plants or animals |
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Sample requirements | Minimal fragmentation of high quality genomic DNA |
Sample volume | DNA volume ≥ 100 ng (DNA concentration ≥ 100 ng/µL) |
Sample purity | OD 260/280 = 1.8-2.0 |
Fig 2. SNP microarray workflow
CD Genomics has an advanced array platform, experienced experts and a technical team. Our standardised service process ensures that every aspect of our service is accurate and that we provide our clients with the most reliable and unbiased results to help you achieve satisfactory results. We also provide a caring after-sales service to help you with your project progress. To date, we have successfully performed a number of SNP microarray services, based on which we have greatly helped researchers to promote the discovery of genome-wide SNPs and the study of genetic variation in plants and animals. If you are interested in us, please feel free to contact us.
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CD Genomics is propelling the future of agriculture by employing cutting-edge sequencing and genotyping technologies to predict and enhance multiple complex polygenic traits within breeding populations.