Illumina microarray technology (also known as BeadArray technology) uses silica microbeads. On the surface of each array, or BeadChip, hundreds of thousands to millions of genotypes for a single individual can be assayed at once. These tiny silica beads are housed in carefully etched microwells and coated with multiple copies of an oligonucleotide probe targeting a specific locus in the genome.
As DNA fragments pass over the BeadChip, each probe binds to a complementary sequence in the sample DNA, stopping one base before the locus of interest. Allele specificity is conferred by a single base extension that incorporates one of four labeled nucleotides. When excited by a laser, the nucleotide label emits a signal. The intensity of that signal conveys information about the allelic ratio at that locus.
Trusted data quality and exceptional coverage of valuable genomic regions make our Infinium genotyping arrays the assay of choice by leading institutions for high- throughput research screening and large-scale research programs. Infinium chemistry produces exceptional data quality and call rates, as well as consistent reproducibility. We offer a broad range of microarray options based on SNP complexity and sample throughput.
Since the launch of our first BeadChip, we have innovated microarray solutions to help researchers advance science.
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Infinium methylation technology allows highly accurate and precise quantification of methylation levels in the genome. Use the Infinium methylation assay to detect cytosine methylation at the level of single CpG sites.
See how you can use multiomics to better connect genotype to phenotype and obtain a full cellular readout not found through single omics approaches.

Read how scientists are using arrays to further their genomic research across a diverse field of applications.
Read how Dr Benjamin Darbro at the University of Iowa Carver College of Medicine, uses a wide range of cytogenetic tools, including microarrays and more, to explore gene networks involved in neurodevelopmental disorders.
In this research paper, scientists make significant contributions to a better understanding of the genetic structure and production potential of Eşme sheep to optimize and inform breeding programs.
In this spotlight, Dr Kathleen Barnes talks about how genetic factors can influence disease in populations as well as factors influencing its global distribution using methylation arrays.
Find the right microarray or library prep kit for your needs. Filter by method, species, and more. Compare, share, and order kits.
Learn about the Infinium array product line that provide solutions for unparalleled genomic access and accuracy to detect genetic and epigenetic variation.
See how scientists developed a new multi-species platform based on the Illumina Infinium II array chemistry targeting approximately 3000 SNPs in wheat, oat and barley.
Watch how a mouse DNA methylation array can accelerate high sample-throughput studies in this important model organism.
Learn about the different strand designations found in Illumina array manifests and GenomeStudio projects.
A step-by-step method to help you understand this nomenclature for single nucleotide polymorphisms.
When comparing genotyping data, it is important to use the same DNA strand designation.
SIllumina microarrays offer high-quality data and exceptional genomic coverage to propel genomic studies of any size.
Human genotyping arrays are ideal for processing thousands of samples to identify variants associated with traits and disease.
Methylation arrays enable high-throughput, quantitative interrogation of methylation sites across the genome at single-nucleotide resolution.
Software tools for array experimental design, sample tracking, and analysis of microarray data.
In this research paper, scientists investigate genes and variants underlying metabolic dysfunction-associated fatty liver diseases in a Korean adult population at a genome-wide level.
Scientists show that chromosomal microarray analysis can enhance the prenatal diagnostic accuracy by detecting submicroscopic copy number variants not visible with conventional methods.
Read how researchers used SNP array profiling to gain a better understanding of breast cancer etiology to facilitate predictive therapies and improve prognostic assessments.