Gene expression

Study how and which genes are turned off and on in response to disease or other stimulus. Analyse the implications by unravelling the signalling pathways affected

miRNA analysis

miRNAs regulate ~30% of all human protein coding genes. The only array that contains unique probes sequences designed to independently interrogate pre-miRNA and mature miRNA in the same experiment along with scaRNA and snoRNA

Splice Variant Analysis

More than 60% of genes are alternatively spliced yielding transcript variants with potentially distinct functions. Whole Transcript (WT) assays enables researchers to detect not only the level of expression but also alternative splicing isoforms.

SNP Genotyping

Identify differences in gene sequences (SNPs) between individuals and populations, which can help detect disease, predict drug response, and develop safer, better medicines.
Human, Mice, Arabidopsis, Canine

Gene Regulation

Study Epigenetics through Histone & DNA modifications as well as DNA-Protein interactions through ChIP-on-CHIP using High Density Tiling arrays. Assay the entire genome or targeted promoter regions to gain insights on regulatory changes in the chromatin.
Human, Mouse, Arabidopsis, C.elegans, Drosophila, S.cerevisiae, S.pombe


Facilitate marker-trait associations, GWAS, and QTL analyses using comprehensive solutions for animal and plant genotyping Apple, Bovine, Buffalo, chicken, Cotton , Equine, Maize, Porcine, Rice, Strawberry, Salmon, Soybean, Trout, Wheat, Lettuce, Pepper


Detect and analyze relevant chromosomal aberrations with high-resolution coverage of cancer and constitutional genes of interest, along with high-density SNP coverage for loss of heterozygosity (LOH) detection."


Efficient and cost-effective method for large- scale sequence variation analysis on single array. Applications in biodefense, food supply, air/water quality, microbial testing & sterility assurance.
Human Mitochondrial Array
Multi-pathogen arrays to identify species and strain . Bacterial & viral ID and subtyping.


Maximize cancer discoveries from your FFPE samples. Unparalleled data quality from challenging FFPE samples. Low input DNA requirement.


Most comprehensive panel of known pharmacogenetics markers for standardizing drug metabolism studies