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DESCRIPTION
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DESCRIPTION
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Package: TCGAbiolinks
Type: Package
Title: TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data
Version: 2.13.3
Date: 2019-05-06
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: Antonio Colaprico <[email protected]>,
Tiago Chedraoui Silva <[email protected]>
Depends:
R (>= 3.4)
Imports:
downloader (>= 0.4),
survminer,
grDevices,
dplyr,
gridExtra,
graphics,
tibble,
grid,
GenomicRanges,
XML (>= 3.98.0),
data.table,
EDASeq (>= 2.0.0),
edgeR (>= 3.0.0),
jsonlite (>= 1.0.0),
plyr,
knitr,
methods,
biomaRt,
ggplot2,
ggthemes,
survival,
stringr (>= 1.0.0),
IRanges,
scales,
rvest (>= 0.3.0),
stats,
utils,
selectr,
S4Vectors,
ComplexHeatmap (>= 1.10.2),
R.utils,
SummarizedExperiment (>= 1.4.0),
genefilter,
ConsensusClusterPlus,
readr,
RColorBrewer,
doParallel,
GenomeInfoDb,
GenomicFeatures,
parallel,
tools,
tidyr,
sva,
limma,
purrr,
xml2,
httr (>= 1.2.1),
matlab,
circlize,
ggrepel (>= 0.6.3)
Description: 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.
License: GPL (>= 3)
biocViews: DNAMethylation,
DifferentialMethylation,
GeneRegulation,
GeneExpression,
MethylationArray,
DifferentialExpression,
Pathways,
Network,
Sequencing,
Survival
Suggests:
jpeg,
png,
BiocStyle,
rmarkdown,
devtools,
maftools,
parmigene,
c3net,
minet,
dnet,
Biobase,
affy,
testthat,
sesame,
pathview,
clusterProfiler,
igraph,
supraHex
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/BioinformaticsFMRP/TCGAbiolinks
BugReports: https://github.com/BioinformaticsFMRP/TCGAbiolinks/issues
RoxygenNote: 6.1.1