Cell Index Database (CELLX): A Web Tool for Cancer Precision Medicine

نویسندگان

  • Keith A. Ching
  • Kai Wang
  • Zhengyan Kan
  • Julio Fernández
  • Wenyan Zhong
  • Jarek Kostrowicki
  • Tao Xie
  • Zhou Zhu
  • Jean-François Martin
  • Maria Koehler
  • Kim Arndt
  • Paul A. Rejto
چکیده

The Cell Index Database, (CELLX) (http://cellx.sourceforge.net) provides a computational framework for integrating expression, copy number variation, mutation, compound activity, and meta data from cancer cells. CELLX provides the computational biologist a quick way to perform routine analyses as well as the means to rapidly integrate data for offline analysis. Data is accessible through a web interface which utilizes R to generate plots and perform clustering, correlations, and statistical tests for associations within and between data types for ~20,000 samples from TCGA, CCLE, Sanger, GSK, GEO, GTEx, and other public sources. We show how CELLX supports precision oncology through indications discovery, biomarker evaluation, and cell line screening analysis.

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عنوان ژورنال:
  • Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

دوره   شماره 

صفحات  -

تاریخ انتشار 2015