cnvdry <-
curatedTCGAData(assays = "CNVSNP",
version = "2.0.1",
dry.run = TRUE)
## snapshotDate(): 2023-03-13
## See '?curatedTCGAData' for 'diseaseCode' and 'assays' inputs
## [1] 33
## [1] 26.4
cnv <-
curatedTCGAData("BRCA", assays = "CNVSNP",
version = "2.0.1",
dry.run = FALSE)
## snapshotDate(): 2023-03-13
## Working on: BRCA_CNVSNP-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_colData-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_metadata-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_sampleMap-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## harmonizing input:
## removing 13386 sampleMap rows not in names(experiments)
mutsdry <-
curatedTCGAData(assays = "Mutation",
version = "2.0.1",
dry.run = TRUE)
## snapshotDate(): 2023-03-13
## See '?curatedTCGAData' for 'diseaseCode' and 'assays' inputs
## [1] 32
## [1] 96.5
muts <-
curatedTCGAData(diseaseCode = "BRCA", assays = "Mutation",
version = "2.0.1",
dry.run = FALSE)
## snapshotDate(): 2023-03-13
## Working on: BRCA_Mutation-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_colData-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_metadata-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## Working on: BRCA_sampleMap-20160128
## see ?curatedTCGAData and browseVignettes('curatedTCGAData') for documentation
## loading from cache
## harmonizing input:
## removing 14592 sampleMap rows not in names(experiments)
## removing 121 colData rownames not in sampleMap 'primary'
## [1] 1
## [1] 993
## 67.4 Mb
##
## 403 genes were dropped because they have exons located on both strands
## of the same reference sequence or on more than one reference sequence,
## so cannot be represented by a single genomic range.
## Use 'single.strand.genes.only=FALSE' to get all the genes in a
## GRangesList object, or use suppressMessages() to suppress this message.
## Warning in (function (seqlevels, genome, new_style) : cannot switch some hg19's
## seqlevels from UCSC to NCBI style
## 'select()' returned 1:1 mapping between keys and columns
## Warning in .normarg_seqlevelsStyle(value): more than one seqlevels style
## supplied, using the 1st one only
## Warning in (function (seqlevels, genome, new_style) : cannot switch hg19's
## seqlevels from UCSC to NCBI style
## Warning: 'experiments' dropped; see 'metadata'
## harmonizing input:
## removing 2199 sampleMap rows not in names(experiments)
## user system elapsed
## 169.025 8.955 179.228
## [1] "8.6 MB"
object_size(cnvsimp[["BRCA_CNVSNP-20160128_simplified"]])
## [1] "406.9 MB"