henhaobio
Sign in

F1000ResearchBioinformaticsPeer-reviewed journal article

TCGAbiolinksGUI: A graphical user interface to analyze GDC cancer molecular and clinical data

Tiago C. SilvaiD, Antonio ColapricoiD, Catharina OlseniD, Tathiane Maistro MaltaiD, Gianluca BontempiiD, Michele CeccarelliiD, Benjamin P. BermaniD, Houtan NoushmehriD

PDFDOIPreprint

Abstract

BackgroundThe GDC (Genomic Data Commons) data portal provides users with data from cancer genomics studies. Recently, we developed the R/Bioconductor TCGAbiolinks package, which allows users to search, download and prepare cancer genomics data for integrative data analysis. The use of this package requires users to have advanced knowledge of R thus limiting the number of users.\n\nResultsTo overcome this obstacle and improve the accessibility of the package by a wider range of users, we developed TCGAbiolinksGUI that uses shiny graphical user interface (GUI) available through the R/Bioconductor package.\n\nConclusionThe TCGAbiolinksGUI package is freely available within the Bioconductor project at http://bioconductor.org/packages/TCGAbiolinksGUI/. Links to the GitHub repository, a demo version of the tool, a docker image and PDF/video tutorials are available at http://bit.do/TCGAbiolinksDocs.

Citations
18
FWCI
0.83
Field percentile
top 34%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMounir '19Morgan '17Wei '17Zengin '24Streit '19Hayashi '23
72% semantic matchBioinformatics
Mohamed Mounir, Marta Lucchetta, Tiago C. Silva+6 more·PLoS Computational Biology·Mar 5, 2019· 537 citations