Your browser doesn't support javascript.
loading
rcellminer: exploring molecular profiles and drug response of the NCI-60 cell lines in R.
Luna, Augustin; Rajapakse, Vinodh N; Sousa, Fabricio G; Gao, Jianjiong; Schultz, Nikolaus; Varma, Sudhir; Reinhold, William; Sander, Chris; Pommier, Yves.
Afiliação
  • Luna A; Computer Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
  • Rajapakse VN; Developmental Therapeutic Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
  • Sousa FG; Centro De Estudos Em Células Tronco, Terapia Celular E Genética Toxicológica, Programa De Pós-Graduação Em Farmácia, Universidade Federal De Mato Grosso Do Sul, Campo Grande, MS 79070-900, Brazil and.
  • Gao J; Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
  • Schultz N; Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
  • Varma S; Developmental Therapeutic Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
  • Reinhold W; Developmental Therapeutic Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
  • Sander C; Computer Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA.
  • Pommier Y; Developmental Therapeutic Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
Bioinformatics ; 32(8): 1272-4, 2016 04 15.
Article em En | MEDLINE | ID: mdl-26635141
ABSTRACT

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 lunaa@cbio.mskcc.org or vinodh.rajapakse@nih.gov.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Proteômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Proteômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos