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Scientific Informatics Trends Moving towards Science as a Service

October 31, 2014

Real-time scientific data visualization.

Scientific informatics is currently shifting from individual products, like those associated with specific laboratory instruments, to bundled solutions where services are used to tailor systems to meet specific research needs. Data democratization is one of the driving forces behind the need for ‘Science as a Service’ as it allows scientists to evaluate and analyze an abundance of data in real time and make accelerated, more informed decisions during the drug discovery & development process.

Scientists Should Be Doing the Scientific Analysis

Scientists that are actually doing the research are clearly the most capable of gaining insights through visualizing patterns and trends from their data, yet many still have to rely on their IT groups for this type of analysis. Keeping this ability in a scientist’s hands would empower researchers analyzing biochemical, biomarker protein or gene sequencing data from a clinical trial and comparing it to preclinical research data to better interpret the results, make better decisions and speed the timeline to get to those decisions.

Getting to Real-Time Analytics via the Cloud

Cloud computing facilitates data accessibility and sharing of data and real-time analytics through a truly flexible infrastructure. Device-agnostic systems can be deployed outside the laboratory, bringing scientists around the globe together on common platforms – a significant step given the distributed nature of research today. Common tools and standards, such as PerkinElmer’s Elements cloud-based global collaboration platform for science, are enabling greater efficiency and productivity worldwide.

More Visualization Means Better Decisions

Techniques that allow the human brain to spot data trends and layer multiple data sources through visualization is key to helping scientists gain the insights they need. For example, being able to combine data from imaging, biochemical assays, next-generation sequencing, arrays and clinical measurements, followed by the pooling of that data with public or human genome databases will greatly benefit translational medicine. Solutions that deliver stunning visualizations of the most complex data sets can greatly aid in insightful decision-making throughout the drug discovery & development process. Solutions that can deliver stunning visualizations of the most complex data sets, such as the TIBCO Spotfire software platform, will help everyone make informed decisions.

Mobile Science

The development of dedicated mobile applications and arming scientists with them can lead to increased productivity in and out of the lab. Scientists now have rapid anywhere, anytime access to data, allowing them to both generate data and control experiments remotely. PerkinElmer’s early efforts in this mobile science arena include the new ChemDraw mobile app for use with the iPad.

Science as a Service for Informatics

Scientific informatics through ‘Science as a Service’ helps researchers use data from multiple, divergent sources to make truly informed decisions more efficiently, more economically and in real time. New advancements in cloud computing, visual analytics, and mobile scientific apps will only continue to pave this inevitable services pathway ultimately leading to researchers getting the most from their data.


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