With New Software Tool, Researchers Aim to Traverse Chasm in Cancer Data | GenomeWeb

Sorting through seemingly endless numbers of genetic mutations in order to pin down the few implicated in cancer can be a big headache for researchers. But a team at Johns Hopkins University is developing software that plays a sort of guessing game to focus on protein sequences called missense mutations that evidence minute variations from normal patterns.

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