rcellminer: exploring molecular profiles and drug response of the NCI-60 cell lines in R

نویسندگان

  • Augustin Luna
  • Vinodh N. Rajapakse
  • Fabricio G. Sousa
  • Jianjiong Gao
  • Nikolaus Schultz
  • Sudhir Varma
  • William C. Reinhold
  • Chris Sander
  • Yves Pommier
چکیده

PURPOSE The rcellminer R package provides a wide range of functionality to help R users access and explore molecular profiling and drug response data for the NCI-60. The package enables flexible programmatic access to CellMiner's unparalleled breadth of NCI-60 data, including gene and protein expression, copy number, whole exome mutations, as well as activity data for ∼21K compounds, with information on their structure, mechanism of action and repeat screens. Functions are available to easily visualize compound structures, activity patterns and molecular feature profiles. Additionally, embedded R Shiny applications allow interactive data exploration. AVAILABILITY AND IMPLEMENTATION rcellminer is compatible with R 3.2 and above on Windows, Mac OS X and Linux. The package, documentation, tutorials and Shiny-based applications are available through Bioconductor (http://www.bioconductor.org/packages/rcellminer); ongoing updates will occur according to the Bioconductor release schedule with new CellMiner data. The package is free and open-source (LGPL 3). CONTACT [email protected] or [email protected].

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عنوان ژورنال:
  • Bioinformatics

دوره 32 8  شماره 

صفحات  -

تاریخ انتشار 2016