laboratory informatics


out of them from remote sites, globally – is compelling. And as the instrumentation becomes more sophisticated, the data that they generate becomes richer, which will also require greater capacity in terms of storage or computing capacity, again pointing to the benefits of moving directly into the cloud.’


New solutions for translational scientists As part of its drive to offer new solutions in the life sciences sector, PerkinElmer has launched a cloud-based platform to support translational scientists in the pharmaceutical sector. PerkinElmer Signals for Translational, launched during late 2015, is designed to bridge the divide between discovery research and formal development, Hoefens explains. ‘Discovery and development are two, oſten very separate processes, and crossing the chasm that divides them is challenging. Signals for Translational supports the cross-flow of data in a very agile and flexible way, bringing information from those two different processes and parts of the organisation to the translational scientist, facilitating collaboration, biomarker discovery and the development of personalised medicines.’ Te Signals for Translational soſtware is the


first of a series of solutions that PerkinElmer aims to develop from the cloud-based Signals


platform, which is aligned to big data. ‘It’s a platform for aggregation, integration and organisation that we can layer on top of all sorts of other services,’ Encina adds. ‘So as we continue to build this platform, we will be releasing new Signals solutions.’


Multi-tenant partnerships in the cloud Core Informatics, meanwhile, is developing a solution that will enable businesses to create private, multi-tenant partnerships within its cloud infrastructure. ‘Tis capability means that clients will rapidly be able to create new accounts within the Core Informatics platform, for supporting individual research collaborations and outsourced activities, and then disassemble them as the project or collaboration ends,’ Uzzo notes. ‘Without this ability, every research project, collaboration or outsourced contract that a company embarks on likely requires the provision of new hardware, a virtual machine, and the installation of vendor soſtware applications. Tis can all take months to install and deploy, at considerable cost, by which time the project or collaboration may already be over.’ Te capabilities of cloud computing and SaaS do point to exciting future prospects, Medina claims. ‘Companies are collecting more


data than ever before, and new visualisation and analytical tools are being developed to maximise IP within that data. Combining these new analytical tools with the power of cloud computing means that analytical capacity and contextualisation are increasing in breadth, depth and speed, which is propelling discovery research and accelerating scientific discoveries.’


Continued focus on integration Cloud platform development aside, there are still some inevitable issues associated with integrating multiple systems – whether cloud, privately hosted or on-premises – and the ability to integrate will be a key factor in the evolution of cloud platforms, Uzzo believes. ‘Cloud providers really need to focus on integration and establishing an open API that will allow businesses to integrate disparate cloud solutions quickly and easily. No single vendor is going to provide every scientific, logistic and business solution that these businesses need, in one infrastructure. Integration solutions will need to be able to define how and when data is exchanged between applications, how data is mapped and structured, and how it is transformed when transferred from one application to another, whether from one cloud solution to another or between cloud and on- premises platforms.’l


From Data to Intelligence


Unify Analytical and Chemical Data for Greater Efficiency and Productivity


Generate Knowledge from Analytical Information for Faster Decision-Making


Create Intelligence to Gain Insights and Share Knowledge Integrate with Existing Informatics Systems


ACD/Spectrus Platform Let Your Data Live On


Meet us at: SmartLab Exchange Feb. 22-24, San Diego, CA, USA PITTCON Mar. 6-10, Atlanta, GA, USA


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