Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation

Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation

As researchers begin probing deep coverage sequencing data for increasingly rare mutations and subclonal events, the fidelity of next generation sequencing (NGS) laboratory methods will become increasingly critical. Although error rates for sequencing and polymerase chain reaction (PCR) are well doc...

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Bibliographic Details
Main Authors: Costello, Maura, Pugh, Trevor J., Fennell, Timothy, Stewart, Chip, Lichtenstein, Lee, Meldrim, James C., Fostel, Jennifer L., Friedrich, Dennis C., Perrin, Danielle, Dionne, Danielle, Kim, Sharon, Gabriel, Stacey B., Fisher, Sheila, Getz, Gad, Lander, Eric Steven
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: Oxford University Press 2014
Online Access:http://hdl.handle.net/1721.1/88159

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http://hdl.handle.net/1721.1/88159

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