Genotyping enables researchers to explore genetic variants such as single nucleotide polymorphisms (SNPs) and large structural changes in DNA. High-throughput genomic technologies such as 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.
Interrogate SNPs and other variants across the entire genome to obtain the most comprehensive view of genomic variation.Learn More
Focus time and resources on genotyping SNPs and other variants in a specific genomic region of interest, often with higher coverage.Learn More
Perform studies on genome regions or organisms of interest for which standard products are not available.Learn More
Detect DNA copy number changes, as well as aberrant chromosome amplifications and deletions, relative to a reference genome.Learn More
Researchers perform large genome-wide association studies to identify disease-associated DNA risk loci and develop PRSs for clinical validation.Read Interview
Genotyping enables a farmer to enhance the quantity and quality of milk produced by his herd for cheese production.Read Interview
A joint-venture DTC company focuses on the large and growing South Korean market as an entry point into Southeast Asia.Read Interview
Illumina is providing sequencing for a UK-wide study led by Genomics England, designed to compare the genomes of severely and mildly ill COVID-19 patients. This research may help uncover genetic factors associated with susceptibility.Read Article
Enhance the value of crops and herds with screening and discovery tools that aid in breeding decisions. Learn more about plant and animal genotyping.
Analyze germline mutations that predispose individuals to cancer using microarrays and NGS. Learn more about cancer germline mutation analysis.
High-throughput microarrays help labs identify common genetic variations among large cohorts for population-scale genotyping studies. Explore high-throughput genotyping solutions.
GenomeStudio Software enables efficient SNP genotype calling, data normalization, loss of heterozygosity (LOH) calculation, CNV analysis, and more. Learn more about GenomeStudio Software.