Genotyping enables researchers to explore the underlying genetic variants, including 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 CNV genotyping data analysis tools can analyze data across 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, effort, and resources on analyzing SNPs and other variants in a specific genomic region of interest, often with higher coverage.Learn More
Focus on specific regions of the genome or perform studies on regions or organisms 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
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 next-generation sequencing. Learn more about cancer germline mutation studies.
Leverage biobank samples for translational, regenerative medicine, pharmacogenomic, clinical trial, epidemiology, and population studies. Learn more about biobank sample genotyping.
Screen large sample numbers quickly to find SNPs and other causal variants associated with complex diseases. Learn more about causal variant discovery.