Bioconductor version: Release (3.22)
The aim of TCGAbiolinks is : i) facilitate the GDC open-access data retrieval, ii) prepare the data using the appropriate pre-processing strategies, iii) provide the means to carry out different standard analyses and iv) to easily reproduce earlier research results. In more detail, the package provides multiple methods for analysis (e.g., differential expression analysis, identifying differentially methylated regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.
Author: Antonio Colaprico, Tiago Chedraoui Silva, Catharina Olsen, Luciano Garofano, Davide Garolini, Claudia Cava, Thais Sabedot, Tathiane Malta, Stefano M. Pagnotta, Isabella Castiglioni, Michele Ceccarelli, Gianluca Bontempi, Houtan Noushmehr
Maintainer: Tiago Chedraoui Silva <tiagochst at gmail.com>, Antonio Colaprico <axc1833 at med.miami.edu>
citation("TCGAbiolinks")):
To view documentation for the version of this package installed in your system, start R and enter:
| biocViews | DNAMethylation, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneRegulation, MethylationArray, Network, Pathways, Sequencing, Software, Survival |
| Version | 2.38.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (10.5 years) |
| License | GPL (>= 3) |
| Depends | R (>= 4.1.0) |
| Imports | downloader (>= 0.4), grDevices, biomaRt, dplyr, graphics, tibble, GenomicRanges, XML (>= 3.98.0), data.table, jsonlite (>= 1.0.0), plyr, knitr, methods, ggplot2, stringr (>= 1.0.0), IRanges, rvest (>= 0.3.0), stats, utils, S4Vectors, R.utils, SummarizedExperiment(>= 1.4.0), TCGAbiolinksGUI.data(>= 1.15.1), readr, tools, tidyr, purrr, xml2, httr (>= 1.2.1) |
| System Requirements | |
| URL | https://github.com/BioinformaticsFMRP/TCGAbiolinks |
| Bug Reports | https://github.com/BioinformaticsFMRP/TCGAbiolinks/issues |