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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Bibliografski detalji
Glavni autori: 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
Jezik:Inglês
Izdano: Public Library of Science 2009
Teme:
Research Article
Online pristup: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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