Further progress with cancer this time using genome sequencing.
In their search for new ways to treat cancer, many scientists are using a high-tech process called genome sequencing to hunt for genetic mutations that encourage tumor cells to thrive. To aid in this search, some researchers have developed new bioinformatics methods that each claim to help pinpoint the cancer-friendly mutants.
But a stubborn question remains: Among the numerous new tactics that aim to spotlight the so-called cancer driver genes, which produce the most accurate results?
To help solve this puzzle, a team of Johns Hopkins computational scientists and cancer experts have devised their own bioinformatics software to evaluate how well the current strategies identify cancer-promoting mutations and distinguish them from benign mutations in cancer cells.
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