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Research Article

Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis

  • Thomas LaFramboise equal contributor,

    equal contributor Contributed equally to this work with: Thomas LaFramboise, Ninad Dewal

    Affiliations: Department of Genetics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America, Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, United States of America

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  • Ninad Dewal equal contributor,

    equal contributor Contributed equally to this work with: Thomas LaFramboise, Ninad Dewal

    Affiliation: Department of Biomedical Informatics, Columbia University, New York, New York, United States of America

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  • Katherine Wilkins,

    Affiliation: Department of Genetics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America

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  • Itsik Pe'er mail,

    freedman@broadinstitute.org (MLF); itsik@cs.columbia.edu (IP)

    Affiliation: Department of Computer Science, Columbia University, New York, New York, United States of America

    X
  • Matthew L. Freedman mail

    freedman@broadinstitute.org (MLF); itsik@cs.columbia.edu (IP)

    Affiliations: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Medical and Population Genetics Program, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

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  • Published: September 02, 2010
  • DOI: 10.1371/journal.pgen.1001086

About the Authors

Thomas LaFramboise, Katherine Wilkins
Department of Genetics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
Thomas LaFramboise
Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, United States of America
Ninad Dewal
Department of Biomedical Informatics, Columbia University, New York, New York, United States of America
Itsik Pe'er
Department of Computer Science, Columbia University, New York, New York, United States of America
Matthew L. Freedman
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
Matthew L. Freedman
Medical and Population Genetics Program, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

Corresponding Authors

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: TL IP MLF. Analyzed the data: TL ND KW IP MLF. Contributed reagents/materials/analysis tools: TL ND IP. Wrote the paper: TL IP MLF.