Useful links
Research project support
Supporting data and compute intensive research
Supporting research in statistics, machine learning, natural language processing, geospatial analysis, Bayesian approaches, software engineering, data processing, modelling and simulation, bioinformatics and data management.
We provide advice and guidance, most of which is free of charge to University of Sydney researchers, research students, and affiliates. For extended support, please refer to our rate sheet.
Areas of expertise
Data science & AI
We have a team of data scientists, AI experts and software engineers to connect the best data science methods to your research problem.
Our team can provide support in data science, including solutions with:
- machine learning and probabilistic modelling
- data collection, transformation, analysis, and visualisation
- image & natural language processing
- software engineering
- automation
We deliver:
- short consultations and data transformation projects
- longer engineering and analysis projects in milestones of 2-12 weeks effort
- assistance with scoping and estimating work for grant proposals
- development of open-source software for data-driven research, with a focus on Python and R
- advanced training for researchers in data science technologies
Statistical consulting
We provide tailored statistical advice to University of Sydney researchers, research students, and affiliates.
Our team can provide:
- advice on experimental design
- support with data analysis and interpretation
- support with reviewing statistics in your project or grant application
- support with calculation of sample size and experimental power that will be needed in your grant application
We have a range of services available to support your research project, including access to global best practice bioinformatics pipelines, support with analyses and grant applications, training courses, and access to a researcher community.
Pipelines and analysis support
We develop global best practice data processing and bioinformatics pipelines and execute these for researchers on their datasets, at scale, on National HPC and cloud facilities. We engineer bioinformatics pipelines to maximise the efficiency and minimise run times and costs for HPC and Cloud facilities. You can find our public pipelines and analytical notebooks on and .听听
We can assist with a range of bioinformatics data processing and analyses including:听
- Short read and long read genomics and transcriptomics听
- Metagenomics and metatranscriptomics听
- 笔谤辞迟别辞尘颈肠蝉听听
- Single cell and spatial transcriptomics听
- Multiomics integration听
- Germline and somatic genome alignment and variant calling听听
- Genome and transcriptome de novo assemblies听听
- Differential expression听听
- Genome wide association studies听
- Comparative genomics and phylogenetics听
- Deep learning models for variant effect prediction and functional annotation听
- Predictive modelling and biomarker discovery听听
We also assist with听
- sensitive/protected and big data management lifecycles听
- best practices and advise on the experimental design for next generation sequencing studies听
- Data visualisation and quality control听
- How to effectively use the University鈥檚 Research Data Storage systems for large datasets听
- Specialist software and online platforms including QIAGEN鈥檚 CLC Genomics Workbench. Ingenuity Pathway Analysis and Galaxy Australia听
- Popular open-source software听
Grant support
We assist with:听
- developing budgets and draft University in-kind contribution estimates for computing, data storage, and data analysis services for grant applications.听
- preparing and reviewing project proposals for computing resources grants, including the National Computational Merit Allocation Scheme, Intersect HPC Allocation Scheme, Microsoft Azure and AWS Cloud Research grants.听
听Training courses听
We deliver a range of鈥�bioinformatics training courses鈥痑s a part of the . Our events are open to all University of Sydney research staff, students and affiliates.听
Modelling, simulation and visualisation
Access assistance with modelling, simulation, scientific visualisation and informatics.听
Our team can assist with:
- data-intensive and computationally-intensive modelling, simulation, visualisation, and informatics executed on National HPC facilities, and Argus VRDs, and Commercial Cloud. This includes support for accelerating, parallelising and scaling up algorithms, developing portable and reusable code, workflow management and automation, optimising code for, and transitioning code between HPC and Cloud services.
- analyses 鈥� including computational chemistry, molecular dynamics, computational fluid dynamics, finite element analyses, mathematical modelling, machine learning, computer vision, image analyses, scientific visualisation, GPU programming.
- preparing and reviewing project proposals for computing resources grants, such as the National Computational Merit Allocation Scheme, Intersect HPC Allocation Scheme, and Commercial Cloud research grants. We assist with resource benchmarking and demonstrating code scalability as required by these schemes.