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Using The Cancer Genome Atlas as an Inquiry Tool in the Undergraduate Classroom.
Hankey, William; Zanghi, Nicholas; Crow, Mackenzie M; Dow, Whitney H; Kratz, Austin; Robinson, Ashley M; Robinson, Meaghan R; Segarra, Verónica A.
Afiliação
  • Hankey W; Department of Pathology, Duke Cancer Center, Duke University, Durham, NC, United States.
  • Zanghi N; Department of Biology, High Point University, High Point, NC, United States.
  • Crow MM; Department of Biology, High Point University, High Point, NC, United States.
  • Dow WH; Department of Biology, High Point University, High Point, NC, United States.
  • Kratz A; Department of Chemistry, High Point University, High Point, NC, United States.
  • Robinson AM; Department of Physics, High Point University, High Point, NC, United States.
  • Robinson MR; Department of Biology, High Point University, High Point, NC, United States.
  • Segarra VA; Department of Biology, High Point University, High Point, NC, United States.
Front Genet ; 11: 573992, 2020.
Article em En | MEDLINE | ID: mdl-33391340
ABSTRACT
Undergraduate students in the biomedical sciences are often interested in future health-focused careers. This presents opportunities for instructors in genetics, molecular biology, and cancer biology to capture their attention using lab experiences built around clinically relevant data. As biomedical science in general becomes increasingly dependent on high-throughput data, well-established scientific databases such as The Cancer Genome Atlas (TCGA) have become publicly available tools for medically relevant inquiry. The best feature of this database is that it bridges the molecular features of cancer to human clinical outcomes-allowing students to see a direct connection between the molecular sciences and their future professions. We have developed and tested a learning module that leverages the power of TCGA datasets to engage students to use the data to generate and test hypotheses and to apply statistical tests to evaluate significance.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article