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The Otago Genomics Facility delivers genomics solutions to researchers and industry

Our experienced team can assist with project design, provide advice for sample preparation, and ensure that the chosen technology can meet specific project and data requirements.


The Otago Genomics Facility (OGF) is an Illumina Propel-certified service provider with access to in-house Illumina short-read and Oxford Nanopore Technologies (ONT) long-read platforms.

Illumina and ONT platforms enable a range of DNA and RNA sequencing applications including genome sequencing, mutation discovery, transcriptome profiling, and epigenetic profiling.

We currently offer the following on MiSeq, NextSeq 2000, and ONT GridION X5 instruments:

  • Whole genome sequencing
  • Targeted sequencing
  • RNA-Seq
  • Metagenomic and amplicon sequencing
  • ChIP-Seq

Nanostring nCounter Analysis System

The OGF is a Nanostring nCounter Analysis System core facility.

The NanoString nCounter Analysis System offers an alternative to qPCR, and is a cost-effective way to easily profile the expression of hundreds of genes, proteins, miRNA, or copy number variants simultaneously with high sensitivity and precision, facilitating a wide variety of basic research and translational medicine applications, including biomarker discovery and validation.

Nanostring nCounter also provides a validation tool for next generation sequencing data. The robust nature of the amplification-free chemistry allows researchers to measure subtle changes from small and degraded samples such as clinical tissue biopsies.

We currently offer:

  • Gene expression analysis: custom and off-the-shelf CodeSets
  • Single cell gene expression analysis
  • miRNA expression analysis
  • miRGE (miRNA & mRNA analysis)
  • Copy Number Variation analysis

Further information on the client process for Nanostring projects

How to get started

The OGF welcomes enquiries, and we encourage you to contact us early in the design phase of your project so that we can provide the best advice for you to achieve optimal experimental design and data outputs.


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