Bioinformatics
The diverse applications of bioinformatics include integrating assorted datasets, managing high throughput sequencing data, ensuring analytical reproducibility, benchmarking quality, and interpreting results within a biological context, amongst others.
The Ramaciotti Centre implements advanced bioinformatics support to produce data in line with our commitment to deliver genomics services of the highest quality.
We're actively expanding our bioinformatics support capabilities. Therefore, we would be delighted to hear more about your needs and discuss how we can work together to develop a bespoke solution. Please contact us on this matter by using this link:聽Bioinformatics support at Ramaciotti.
Depending on the analytical complexity and demand, we may not be able to accommodate all projects. In this case, we may recommend alternative pathways, including prospective collaborations with research laboratories, public bioinformatics resources, private service providers or partner organizations.
Here are some additional bioinformatics resources:聽
- DIY
- Training
- High performance computing
There are number of resources available to researchers interested in performing their own analysis. Below are links to further resources, training聽and聽high-performance computing.
, a Bioplatforms Australia- funded initiative, support researchers with community scale digital infrastructure and access to bioinformatics solutions. They coordinate a range of activities, and their website contains a wealth of information and resources.
聽is an open, web-based platform for accessible, reproducible and transparent computational research. Galaxy supports thousands of documented and maintained tools that are free to use. We facilitate on-demand training capacities and provision 600GB for Australian institutional (and 100GB for other) users.
翱辫别苍础滨鈥檚听聽can help generate, troubleshoot and review bioinformatics pipelines but may require some critical inspection, as AI recommendations may be inaccurate, out of date, or complete hallucinations. Users of AI tools should consult with experienced bioinformaticians and familiarize themselves with their institution鈥檚 policies regarding the use of AI, as well as best practices for聽聽in their work and make efforts to reference the original authors of the bioinformatics tools that are employed.
The Ramaciotti Centre and Australian BioCommons organise and host data analysis training workshops. Please聽聽be notified of these events.
UNSW resources
The Faculty of Science is at the forefront of all aspects of high-performance computing within UNSW. The faculty has pioneered a modular computational cluster with significant potential for further expansion where research groups "buy in" to the cluster by purchasing one or more inexpensive nodes that give them access to the cluster. A sophisticated job scheduler then ensures that users always receive a fair share of the compute resources that are at least commensurate with their research group鈥檚 investment in the cluster. For further information about opportunities to expand and use the cluster please contact聽martin.thompson@unsw.edu.au.
Regional resources
The primary regional resource of high performance computing in NSW is through聽. Intersect is a not-for-profit company established to provide eResearch services and solutions to member institutions. Intersect works with its members using their existing technical capabilities to drive the next generation of research and innovation. Please visit their website for further details on the hardware and software available for computationally intensive data analysis.
National resources
罢丑别听聽NCI) is a federal government initiative hosted at ANU to foster world-class research through the provision of high end computing services. Their advanced computing infrastructure includes a petascale HPC system, a large scale compute cloud and multi-petabyte high performance storage.
The computational resources of the NCI are collectively known as "The National Facility" are available for researchers who are successful in applying for time on their clusters. Detailed information including history current setup and future expansion plans can be found on the NCI website.