In 1936, British mathematician Alan Turing published a paper outlining a simple theoretical computing machine that is widely considered the conceptual precursor
to the modern computer. Among the novel capabilities of the Turing Machine, as his invention came to be known, was its capacity to imitate another Turing Machine—a
concept he called the universal computing machine. He postulated that given enough processing power, the imitating machine could emulate the imitated machine at a
speed comparable to the original machine’s performance. Although Turing’s original work was strictly hypothetical, anyone familiar with mainframes or who has run a
DOS box under Windows XP knows that his model, first devised more than seven decades ago, not only proved viable but has been entrenched in computing for at least
30 years.
As IT professionals working in life science, we are charged with supporting R&D processes that on average span 15 years and ten generations of hardware—a period that
typically encompasses significant changes, especially in hardware interfaces to external devices such as laboratory instruments. Increasingly, we are also being called upon
to support applications, such as genome searches, protein and receptor docking modeling, cellular activity as a time-lapse video, and chemical compound screening for
activity, that present data in more than two dimensions and transcend the ability to capture the data on paper. With the FDA mandating that all data relevant to the
development of a drug, medical device or life science product be available for two years after the last of the product is dispensed, it is essential that these “views” of the
data collected be recorded so they can be submitted as supporting documentation when the product is reviewed. One of our biggest quandaries is how to support legacy
data storage and application viewers that remain accessible on current-generation hardware and operating systems at the same time more and more applications are
producing data that cannot be adequately viewed on paper.
Turing’s pioneering work may hold the key.
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