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DNA. The Future of Data
One night a few years ago, two biologists sat in a bar in Hamburg, discussing DNA. Ewan Birney, the associate director of the European Bioinformatics Institute, and Nick Goldman, a research scientist there, were wondering how to handle the tsunami of data flooding the institute, whose job it is to maintain databases of DNA sequences, protein structures, and other biological information that scientists turn up in their research—databases that are growing exponentially, thanks mostly to dropping costs and increased automation. The maintenance of all this data on hard drives was pressing their budget to the breaking point.
Being genomicists, they joked that DNA, which is incredibly compact, sturdy, and of course has a rather lengthy history of storing data, would be a better way to go. Joking, however, gave way to fevered napkin-scribbling, and soon, recalls Goldman, “We had to order another beer, and call for more napkins to write on.”
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