Central Facility for Genomics
The Griffith University Central Facility for Genomics involves the collection and processing of high-quality data from vast biological samples, using automated, robust, high-throughput and efficient procedures. The Griffith University Central Facility for Genomics utilizes state-of-the-art technologies and data analytics to make the most of your samples. The Central Facility operates in conjunction with the Griffith University DNA Sequencing Facility (griffith.edu.au)
Mission
To generate high quality genomics data for discovery, diagnostic and clinical application.
Vision
Griffith University as a leader for South East Queensland Genomics solutions; partnering with researchers, clinicians and industry; to accelerate achievement of impactful outcomes.
Core Values
- Innovation (in new genomics solutions)
- Excellence (defensible data and quality systems)
- Performance (solving challenges, exceeding expectations)
- Reliability (frequent and clear communication)
Consultation
Submission
Interactive phased work
Outcome
The consultation will discuss the scientific boundaries of your project, the desired outcomes and detail special considerations.
Based on the consultation we will submit a proposed plan for the sample collection, data collation and analysis as per your requirements. This will entail overall analysis goals and will provide an approximate timeline for conclusion.
Through consultation and analysis we will move forward towards generating summary reports, allowing for necessary adjustments to the project strategy. We value your collaboration to ensure project phases are aligned and will have meeting availability as phases progress.
Project data and results will be available throughout the process and we will provide a final summary in our outcome meeting.
Your outcome meeting may include:
- A summary of analysis in your preferred format
- Relevant data and results in an organised format with a guide to increase ease of access to pertinent information
- Consultation and collaboration with your project team to review results and chart your future progress
Featured Publications
(Watts AM, West NP, Smith PK, Zhang P, Cripps AW, Cox AJ. Immun Inflamm Dis. 2022 Mar;10(3):e571. doi: 10.1002/iid3.571. Epub 2021 Nov 23.
(Watts AM, West NP, Smith PK, Cripps AW, Cox AJ. Immun Inflamm Dis. 2022 Jan;10(1):78-92. doi: 10.1002/iid3.545. Epub 2021 Oct 12.)
Inflammatory responses to a pathogenic West Nile virus strain.
(Huang B, West N, Vider J, Zhang P, Griffiths RE, Wolvetang E, Burtonclay P, Warrilow D.BMC Infect Dis. 2019 Oct 29;19(1):912. doi: 10.1186/s12879-019-4471-8.PMID: 31664929 Free PMC article.)
(Zaid A, Tharmarajah K, Mostafavi H, Freitas JR, Sheng KC, Foo SS, Chen W, Vider J, Liu X, West NP, Herrero LJ, Taylor A, Mackay LK, Getts DR, King NJC, Mahalingam S.mBio. 2020 Mar 3;11(2):e03353-19. doi: 10.1128/mBio.03353-19)
Key viral immune genes and pathways identify elite athletes with URS
(Colbey C, Drew MK, Cox AJ, Vider J, Pyne DB, Vlahonich N, Hughes D, Waddington G, Appaneal R, Burke LM, Lundy B, Toomey M, Watts D, Lovell G, Praet S, Halson SL, Welvaert M, Zhang P, Cripps AW, West NP.Exerc Immunol Rev. 2020;26:56-78.)
(Vider J, Croaker A, Cox AJ, Raymond E, Rogers R, Adamson S, Doyle M, O'Brien B, Cripps AW, West NP.Diagn Pathol. 2020 May 15;15(1):57. doi: 10.1186/s13000-020-00974-4.)
A correlation-based network for biomarker discovery in obesity with metabolic syndrome
(Chen PY, Cripps AW, West NP, Cox AJ, Zhang P.BMC Bioinformatics. 2019 Dec 10;20(Suppl 6):477. doi: 10.1186/s12859-019-3064-2.)
(West NP, Watts AM, Smith PK, Zhang P, Besseling-van der Vaart I, Cripps AW, Cox AJ. Genes. 2019 Nov 4;10(11):889. doi:10.3390/genes10110889.)
(Watts AM, West NP, Cripps AW, Smith PK, Cox AJ. Int Arch Allergy Immunol. 2018;177(1):29-34. doi: 10.1159/000489609. Epub 2018 Jun 19.)
(Hatton Jones KM, West NP, Thangs MWC, Chen PY, Davoren P, Cripps AW, Cox AJ. J Obes Metab Syndr. 2024 33:61-75. doi: 10.7570/jomes23022. Epub 2024 Mar 21.)
(Lee W, Ben-Othman R, Skut P, Lee AH, Barbosa AD, Beaman M, Currie A, Harvey NT, Kumarasinghe P, Hall RA, Potter J, Graves S, West NP, Cox AJ, Irwin PJ, Kollmann TR, Oskam CL. Heliyon. 2024. 10: e33600. doi: 10.1016/j.heliyon.2024.e33600. eCollection 2024 Jul 15.)
Diagnosis and typing of influenza using fluorescent barcoded probes
(Huang B, West NP, Vider J, Cox AJ, Constantino T, Harrower BJ, Pyke AT, McMahon J, Northill JA, Riordan T, Warrilow D. Sci Rep. 2017 Dec 22;7(1):18092. doi: 10.1038/s41598-017-18333-7.)
nCounter Analysis System
With the NanoString nCounter Dx system analyse up to 770 genes in key biological pathways and cell types. Robust for use with FFPE and cell lysate with no amplification. New 3D biology allows for simultaneous RNA, DNA and protein analysis.
10x Chromium
Chromium Single Cell Gene Expression provides single cell transcriptome 3' gene expression and multiomic capabilities to profile tens of thousands of cells. Explore cellular heterogeneity, novel targets, and biomarkers with combined gene expression, surface protein expression, or CRISPR edits in each cell.
GeoMx® Digital Spatial Profiler
The GeoMx Digital Spatial Profiler (DSP) provides morphological context in spatial transcriptomics and spatial proteomics experiments from just one slide.
From discovery to translational research, the GeoMx DSP is the most flexible and robust spatial biology solution designed to conform to your ever-changing research needs.
CosMX Spatial Molecular Imager
CosMx SMI is the first high-plex in situ analysis platform to provide spatial multiomics with formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF) tissue samples at cellular and subcellular resolution. CosMx SMI enables rapid quantification and visualization of up to 1,000 RNA and 64 validated protein analytes. It is the flexible, spatial single-cell imaging platform that will drive deeper insights for cell atlasing, tissue phenotyping, cell-cell interactions, cellular processes, and biomarker discovery.
Illumina NextSeq2000
The NextSeq 1000 and NextSeq2000 are redesigned from the ground up. Their flexibility, affordability, and scalability help both new and experienced users achieve fast turnaround times and reduced operating costs. With the wide range of available flow cells, they support a variety of applications including: Single-Cell Gene Expression, Spatial Transcriptomics, Total RNA sequencing, Shotgun Metagenomics and more.
Data Analytics
Data Analytics provides data solutions for research. With expert data analysis services across molecular and clinical research our aim is to write customised assistance for the analysis and modelling of biological data.