New additions to the cancer precision medicine toolkit.

Mardis ER
Genome Med 10 28 04/13/2018

Abstract

New computational and database-driven tools are emerging to aid in the interpretation of cancer genomic data as its use becomes more common in clinical evidence-based cancer medicine. Two such open source tools, published recently in Genome Medicine, provide important advances to address the clinical cancer genomics data interpretation bottleneck.

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