Updated on 1 December 2014
Mr Aaron Hudson & Mr Jordan Stockton
Singapore: Across industries, business needs are driving institutions to utilize cloud computing for a myriad of reasons including; simplicity of deployment, faster-processing time and reduced operating costs. In the research-intensive life sciences industry, the need for systems that can accommodate massive data sets is driving labs to adopt cloud-based technologies. These solutions also enable researchers to communicate and collaborate with internal and external stakeholders by supporting enhanced sharing, analysis, and reporting capabilities. Additionally, simplified, cloud-based user interfaces are expanding the number and diversity of people who can productively interact with biological data.
The AB SCIEX-Illumina OneOmics Initiative
Recently, AB SCIEX with Illumina embarked on the global OneOmics project which enables the integration of proteomic and genomic data analysis and bringing together SWATH acquisition based next-generation proteomics (NGP) and next-generation sequencing (NGS) tools in a cloud environment. Simply put, AB SCIEX's SWATH Proteomics Cloud Tool Kit suite of beta applications is now hosted in BaseSpace, Illumina's cloud-based informatics environment, enabling a single location for genomics and proteomics big data.
AB SCIEX's patented SWATH Proteomics software solves the "missing data problem" where reproducible proteome research is made feasible for the first time across many samples. The software allows thousands of proteins and peptides to be examined at one time with almost no methods development. The reproducibility is something missing in the traditional "shotgun" proteomics approach. With these new cloud-based applications, customers can process data up to 25 times faster than in non-cloud based computer systems.
Until now, Omics researchers around the globe have never had a single, off-the-shelf solution to store, manage, analyse, and compare data generated from different technologies. With the new tools developed in the OneOmics project, they can go beyond simple biomarker identification, and begin to understand the multi-dimensional molecular mechanisms associated with disease and cellular function.
Benefits of Using BaseSpace for Proteomics