Entering edit mode
7.0 years ago
villayatgoba
•
0
My system information is given below
> sessionInfo ()
>
> R version 3.3.2 (2016-10-31)
> Platform: x86_64-pc-linux-gnu (64-bit)
>
>Running under: Ubuntu 17.04
locale:
[1] LC_CTYPE=en_IN LC_NUMERIC=C LC_TIME=en_IN
[4] LC_COLLATE=en_IN LC_MONETARY=en_IN LC_MESSAGES=en_IN
[7] LC_PAPER=en_IN LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_IN LC_IDENTIFICATION=C
attached base packages:
[1] stats4 parallel stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] hugene10sttranscriptcluster.db_8.5.0 hugene10stprobeset.db_8.5.0
[3] org.Hs.eg.db_3.4.0 hugene10stv1probe_2.18.0
[5] AnnotationDbi_1.36.2 IRanges_2.8.2
[7] S4Vectors_0.12.2 hugene10stv1cdf_2.18.0
[9] gcrma_2.46.0 affy_1.52.0
[11] GEOquery_2.40.0 Biobase_2.34.0
[13] BiocGenerics_0.20.0 BiocInstaller_1.24.0
loaded via a namespace (and not attached):
[1] Rcpp_0.12.13 XVector_0.14.1 splines_3.3.2
[4] zlibbioc_1.20.0 bit_1.1-12 R6_2.2.2
[7] rlang_0.1.4 blob_1.1.0 httr_1.3.1
[10] tcltk_3.3.2 tools_3.3.2 DBI_0.7
[13] digest_0.6.12 bit64_0.9-7 tibble_1.3.4
[16] preprocessCore_1.36.0 affyio_1.44.0 bitops_1.0-6
[19] RCurl_1.95-4.8 memoise_1.1.0 RSQLite_2.0
[22] Biostrings_2.42.1 XML_3.98-1.9 pkgconfig_2.0.1
>
I am following a work flow to do gene expression analysis from BioConductor packages. during my analysis i go through the source("http://bioconductor.org/biocLite.R") and biocLite("GEOquery") command but, during the command of sapply I am getting the following error message
`getGEOSuppFiles("GSE10329")`
https://ftp.ncbi.nlm.nih.gov/geo/series/GSE10nnn/GSE10329/suppl/
OK
trying URL 'https://ftp.ncbi.nlm.nih.gov/geo/series/GSE10nnn/GSE10329/suppl//GSE10329_RAW.tar'
Content type 'application/x-tar' length 122982400 bytes (117.3 MB)
==================================================
downloaded 117.3 MB
trying URL 'https://ftp.ncbi.nlm.nih.gov/geo/series/GSE10nnn/GSE10329/suppl//filelist.txt'
Content type 'text/plain' length 1389 bytes
==================================================
downloaded 1389 bytes
`untar("GSE10329/GSE10329_RAW.tar", exdir="data")`
> > cels = list.files("data/", pattern = "CEL")
> sapply(paste("data", cels, sep="/"), gunzip)
Error in FUN(X[[i]], ...) :
Argument 'filename' and 'destname' are identical: data/GSM261030.CEL
> cels = list.files("data/", pattern = "CEL")
> sapply(paste("data", cels, sep="/"), gunzip)
Error in FUN(X[[i]], ...) :
Argument 'filename' and 'destname' are identical: data/GSM261030.CEL
> cels = list.files("data/", pattern = "CEL")
Assuming that you are going to be processing the .CEL files with Bioconductor tools, there is no reason to
gunzip
them at all. Packages for reading .CEL files can usually read them in the gzipped format.