Dear all,
I'm using TCGAbiolinks to obtain IDAT files and metadata from the GDC server through GDCquery. This has worked previously but now it doesn't, even though the server status is supposedly OK.
I follow the example to get IDAT files from the legacy GDC server shown on this link: https://www.bioconductor.org/packages/devel/bioc/vignettes/TCGAbiolinks/inst/doc/download_prepare.html#Examples
I have tried running this code several times after logging back in and on different days, with the same outcome. GDCquery commands work for the non-legacy server. Any suggestion about what I might be missing?
Thank you!
Sophie.
library(TCGAbiolinks)
getGDCInfo()
$commit
[1] "dfa394478bd39c11b89d3819a398898d99575a24"
$data_release
[1] "Data Release 27.0 - October 29, 2020"
$status
[1] "OK"
$tag
[1] "3.0.0"
$version
[1] 1
projects <- TCGAbiolinks:::getGDCprojects()$project_id
projects <- projects[grepl('^TCGA',projects,perl=T)]
for(proj in projects){
+ print(proj)
+ query <- GDCquery(project = proj,
+ data.category = "Raw microarray data",
+ data.type = "Raw intensities",
+ experimental.strategy = "Methylation array",
+ legacy = TRUE,
+ file.type = ".idat",
+ platform = "Illumina Human Methylation 450")
+ }
[1] "TCGA-UCEC"
--------------------------------------
o GDCquery: Searching in GDC database
--------------------------------------
Genome of reference: hg19
Error in open.connection(con, "rb") : HTTP error 404.
sessionInfo( )
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Scientific Linux 7.5 (Nitrogen)
Matrix products: default
BLAS: /gpfs/igmmfs01/software/pkg/el7/apps/R/4.0.3/lib64/R/lib/libRblas.so
LAPACK: /gpfs/igmmfs01/software/pkg/el7/apps/R/4.0.3/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] TCGAbiolinks_2.18.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lattice_0.20-41
[3] tidyr_1.1.2 prettyunits_1.1.1
[5] assertthat_0.2.1 digest_0.6.27
[7] BiocFileCache_1.14.0 plyr_1.8.6
[9] R6_2.5.0 GenomeInfoDb_1.26.2
[11] stats4_4.0.3 RSQLite_2.2.2
[13] httr_1.4.2 ggplot2_3.3.3
[15] pillar_1.4.7 zlibbioc_1.36.0
[17] rlang_0.4.10 progress_1.2.2
[19] curl_4.3 data.table_1.13.6
[21] blob_1.2.1 S4Vectors_0.28.1
[23] R.utils_2.10.1 R.oo_1.24.0
[25] Matrix_1.2-18 downloader_0.4
[27] readr_1.4.0 stringr_1.4.0
[29] RCurl_1.98-1.2 bit_4.0.4
[31] biomaRt_2.46.0 munsell_0.5.0
[33] DelayedArray_0.16.0 xfun_0.19
[35] compiler_4.0.3 pkgconfig_2.0.3
[37] askpass_1.1 BiocGenerics_0.36.0
[39] openssl_1.4.3 tidyselect_1.1.0
[41] SummarizedExperiment_1.20.0 tibble_3.0.4
[43] GenomeInfoDbData_1.2.4 IRanges_2.24.1
[45] matrixStats_0.57.0 XML_3.99-0.5
[47] crayon_1.3.4 dplyr_1.0.2
[49] dbplyr_2.0.0 bitops_1.0-6
[51] R.methodsS3_1.8.1 rappdirs_0.3.1
[53] grid_4.0.3 jsonlite_1.7.1
[55] gtable_0.3.0 lifecycle_0.2.0
[57] DBI_1.1.0 magrittr_2.0.1
[59] scales_1.1.1 TCGAbiolinksGUI.data_1.10.0
[61] stringi_1.5.3 XVector_0.30.0
[63] xml2_1.3.2 ellipsis_0.3.1
[65] generics_0.1.0 vctrs_0.3.6
[67] tools_4.0.3 bit64_4.0.5
[69] Biobase_2.50.0 glue_1.4.2
[71] purrr_0.3.4 hms_0.5.3
[73] MatrixGenerics_1.2.0 parallel_4.0.3
[75] AnnotationDbi_1.52.0 colorspace_2.0-0
[77] GenomicRanges_1.42.0 rvest_0.3.6
[79] memoise_1.1.0 knitr_1.30