Genotyping Australia

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About Us

Agrigenomics

Agricultural genomics, or agrigenomics (the application of genomics in agriculture), has and will continue to drive sustainable productivity and offer solutions to the mounting challenges of feeding the global population. Using modern technology, farmers, breeders, and researchers can easily identify the genetic markers linked to desirable traits, informing cultivation and breeding decisions.

Medical Genomics

Medical genomics is the application and integration of genomic and other data—including functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis and pharmacogenomics—to better understand the genetic bases of drug response and disease.

Molecular Diagnostics

Molecular diagnostics is a collection of techniques used to analyse biological markers in the genome and proteome—the individual’s genetic code and how their cells express their genes as proteins—by applying molecular biology to medical testing.

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Our Service For You

Genotyping

Genotyping is the technology that detects small genetic differences that can lead to major changes in phenotype

DNA Extraction

Isolate DNA from the nucleus of cells

Quantitative PCR

PCR measures the amplification

Next Generation Sequencing

Next-generation sequencing (NGS), also known as high-throughput sequencing, is the catch-all term used to describe a number of different modern sequencing technologies. These technologies allow for sequencing of DNA and RNA much more quickly and cheaply than the previously used Sanger sequencing, and as such revolutionised the study of genomics and molecular biology.

Sanger Sequencing

Sanger sequencing is a method of DNA sequencing first commercialised by Applied Biosystems, based on the selective incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication.

Bioinformatics

As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.

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