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Web-TCGA: an online platform for integrated analysis of molecular cancer data sets.
Deng, Mario; Brägelmann, Johannes; Schultze, Joachim L; Perner, Sven.
Afiliação
  • Deng M; Pathology of the University Hospital of Luebeck and Leibniz Research Center Borstel, Luebeck and Borstel, Germany. mario.deng@uksh.de.
  • Brägelmann J; Leibniz Research Center Borstel, Borstel, Germany. mario.deng@uksh.de.
  • Schultze JL; Department of Internal Medicine III Section of Hematology/Oncology, University Hospital of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany. j.braegelmann@gmx.de.
  • Perner S; Genomics and Immunoregulation, LIMES-Institute, University Bonn, Carl-Troll-Straße 31, 53115, Bonn, Germany. j.schultze@uni-bonn.de.
BMC Bioinformatics ; 17: 72, 2016 Feb 06.
Article em En | MEDLINE | ID: mdl-26852330
ABSTRACT

BACKGROUND:

The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required.

RESULTS:

In order to improve accessibility we created Web-TCGA, a web based, freely accessible online tool, which can also be run in a private instance, for integrated analysis of molecular cancer data sets provided by TCGA. In contrast to already available tools, Web-TCGA utilizes different methods for analysis and visualization of TCGA data, allowing users to generate global molecular profiles across different cancer entities simultaneously. In addition to global molecular profiles, Web-TCGA offers highly detailed gene and tumor entity centric analysis by providing interactive tables and views.

CONCLUSIONS:

As a supplement to other already available tools, such as cBioPortal (Sci Signal 6pl1, 2013, Cancer Discov 2401-4, 2012), Web-TCGA is offering an analysis service, which does not require any installation or configuration, for molecular data sets available at the TCGA. Individual processing requests (queries) are generated by the user for mutation, methylation, expression and copy number variation (CNV) analyses. The user can focus analyses on results from single genes and cancer entities or perform a global analysis (multiple cancer entities and genes simultaneously).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Internet / Genômica / Neoplasias Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Internet / Genômica / Neoplasias Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Alemanha