Competition is fierce among biotech companies vying to bring out radical new genome sequencing machines, and it’s not at all clear who has the best approach. But a cutting-edge technique called single-molecule sequencing just got a boost from a team of computational biologists—the researchers who focus on crunching the massive amounts of data produced by genetic sequencing.

In a paper published yesterday in Nature Biotechnology, the researchers say their error-correcting software boosts the accuracy of single-molecule sequencing results to a very impressive 99.9 percent. This is for “de novo” sequencing, a tough task, in that scientists taking their first look at a species’ genome don’t have any prior results for comparison’s sake.

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