The RDS Omics Project is building a platform of cloud-based data services and tools for Australian researchers so they combine “multi-omics” data (genomic, transcriptomic, proteomic and metabolomic data), and then analyse and interpret the combined data.
This platform will support the storage, integration, analysis, annotation, visualisation, sharing and publication of multiomics data. These multiple data types present a significant challenge as well as new opportunities, where there are significant scientific advancements to be made from combining genomic, transcriptomic, proteomic and metabolomic data and associated techniques into a single platform.
Ultimately the platform will provide for:
• integration of raw genomics, transcriptomics, proteomics
and metabolomics data from any source
• access to computational tools to process the raw data into forms
that are useful for further analysis, annotation and interpretation
• methods and tools to combine and perform analyses across
genomics, transcriptomics, proteomics and metabolomics data.
• tools to publish open reference datasets that are of
national and international use and interest.
• reproducible pipelines and protocols developed by omics experts
• training materials which support the use of of cloud-based
eResearch infrastructure for multi omics analysis
• a design and prototype implementation of how Australian and European
reference pathogen datasets can be exchanged and federated
The RDS Omics project is intricately tied to the Bioplatforms Australia (BPA) Antibiotic Resistant Pathogen Initiative (ABRPI), which is generating framework multiomics datasets to investigate infectious blood pathogens. The project will be the first use case implemented on the data platform, which itself will be extensible to other areas in future.
By their design, the BPA and RDS projects will be very closely aligned. However, broadly speaking, the BPA project is responsible for the generation of the data, and the RDS project is responsible for building and operating the platform that will store, analyse and visualise the data.
The figure below shows how the two projects sit in relation to each other and how data will be generated and flow through to the Omics Platform
The system is being built in its first Phase (2016) to provide these functions for a comprehensive controlled dataset being generated for a number of bacterial species involved in blood infection.