Profiling Critical Cancer Gene Mutations in Clinical Tumor Samples

BACKGROUND: Detection of critical cancer gene mutations in clinical tumor specimens may predict patient outcomes and inform treatment options; however, high-throughput mutation profiling remains underdeveloped as a diagnostic approach. We report the implementation of a genotyping and validation algo...

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Bibliographic Details
Main Authors: MacConaill, Laura E., Campbell, Catarina D., Kehoe, Sarah M., Bass, Adam J., Hatton, Charles, Niu, Lili, Davis, Matt, Yao, Keluo, Hanna, Megan, Mondal, Chandrani, Luongo, Lauren, Emery, Caroline M., Baker, Alissa C., Philips, Juliet, Goff, Deborah J., Fiorentino, Michelangelo, Rubin, Mark A., Polyak, Kornelia, Chan, Jennifer, Wang, Yuexiang, Fletcher, Jonathan A., Santagata, Sandro, Corso, Gianni, Roviello, Franco, Shivdasani, Ramesh, Kieran, Mark W., Ligon, Keith L., Stiles, Charles D., Hahn, William C., Meyerson, Matthew L., Garraway, Levi A.
Format: Artigo
Language:Inglês
Published: Public Library of Science 2009
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2774511/
https://ncbi.nlm.nih.gov/pubmed/19924296
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0007887
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