Bioinformatics: Tumors have their differences

Nawy, Tal
April 2013
Nature Methods;Apr2013, Vol. 10 Issue 4, p282
Academic Journal
The article discusses a study conducted by Gad Getz and his team which developed MuTect, a computational tool for calling mutations in cancer. It states that MuTect is mutation detection's contraction for the discovery of somatic mutations in cancer that include subclonal mutations. It adds that the developers of MuTect looked for an innovative means of performing extensive benchmarking. Meanwhile, Getz suggested the importance of considering the data towards a successful tool development.


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