The Data Is Your Palette

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While powerful compute muscle in the form of workstations, acceleration hardware, and sophisticated algorithms continues to help crunch data sets that seem to multiply at turbo-charged rates, it isn't becoming any easier for researchers to make sense of it all. "With the vast amounts of data out there, if we rely solely on traditional science and technology methodologies, scientific problems are going to become more and more difficult to solve," says Haesun Park, a professor of computer science at Georgia Institute of Technology.

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The Washington Post reports on a Federal Bureau of Investigation plan to place rapid DNA analyzers at booking stations around the country.

In an editorial, officials from scientific societies in the US and China call for the international community to develop criteria and standards for human germline editing.

The US National Institutes of Health is to review studies that have received private support for conflicts of interest, according to the New York Times.

In Science this week: the PsychENCODE Consortium reports on the molecular mechanisms of neuropsychiatric disorders, and more.