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
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.
Related papers
- Analyses of cancer data in the Genomic Data Commons Data Portal with new functionalities in the TCGAbiolinks R/Bioconductor package
Mohamed Mounir, Marta Lucchetta, … Elena Papaleo·PLoS Computational BiologyPeer-reviewed·Mar 5, 2019
- GenomicDataCommons: a Bioconductor Interface to the NCI Genomic Data Commons
Martin T. Morgan, Sean R. Davis·bioRxiv·Apr 4, 2017
- TCGA-Assembler 2: Software Pipeline for Retrieval and Processing of TCGA/CPTAC Data
Lin Wei, Zhilin Jin, … Yuan Ji·BioinformaticsPeer-reviewed·Dec 19, 2017
- TCGAnalyzeR: a web application for integrative visualization of molecular and clinical data of cancer patients for cohort and associated gene discovery
Talip Zengin, Başak Abak Masud, Tuğba Önal-Süzek·CancersPeer-reviewed·Jan 13, 2024
- Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines, and tissue samples
Marc Streit, Samuel Gratzl, … Christian Haslinger·BioinformaticsPeer-reviewed·Jan 14, 2019
- GENI: a web server to identify gene set enrichments in tumor samples
Arata Hayashi, Shmuel Ruppo, … Yoav David Shaul·Computational and Structural Biotechnology JournalPeer-reviewed·Jan 1, 2023