Hi,
I'm having problems following the biomaRt vignette. I think it comes down to instable servers and if this is the wrong place to report this, please point me in the right direction.
Here is how far I get:
ensembl<-useMart("ensembl")
listDatasets(ensembl, verbose=T)
ensembl = useDataset("hsapiens_gene_ensembl",mart=ensembl)
The error claims:
Error in checkDataset(dataset = dataset, mart = mart) : The given dataset: hsapiens_gene_ensembl , is not valid. Correct dataset names can be obtained with the listDatasets() function.
Taking one step back and looking at the output of listDatasets, the number of entries in this list fluctuates between 6 and 56. In the vein of this, I found that if I repeat the useDataset it will sometime execute correctly. So even if it can be claimed to work, I find this highly annoying. Is it intentional?
sessionInfo()
R version 3.4.0 (2017-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux 7 (wheezy)
Matrix products: default
BLAS: /DEEP_fhgfs/projects/karln/R/R-3.4.0/lib/libRblas.so
LAPACK: /DEEP_fhgfs/projects/karln/R/R-3.4.0/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US LC_NUMERIC=C LC_TIME=en_US LC_COLLATE=C
[5] LC_MONETARY=en_US LC_MESSAGES=en_US LC_PAPER=en_US LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] circlize_0.4.3 biomaRt_2.32.1 ComplexHeatmap_1.14.0 ggplot2_2.2.1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.16 pillar_1.2.1 compiler_3.4.0 DEoptimR_1.0-8
[5] RColorBrewer_1.1-2 plyr_1.8.4 tools_3.4.0 bitops_1.0-6
[9] viridis_0.5.1 class_7.3-14 prabclus_2.2-6 digest_0.6.15
[13] bit_1.1-12 dendextend_1.7.0 mclust_5.4 memoise_1.1.0
[17] RSQLite_2.1.0 tibble_1.4.2 gtable_0.2.0 lattice_0.20-35
[21] viridisLite_0.3.0 rlang_0.2.0 DBI_0.8 parallel_3.4.0
[25] mvtnorm_1.0-7 gridExtra_2.3 trimcluster_0.1-2 cluster_2.0.7-1
[29] IRanges_2.10.5 S4Vectors_0.14.7 GlobalOptions_0.0.13 fpc_2.1-11
[33] bit64_0.9-7 stats4_3.4.0 diptest_0.75-7 nnet_7.3-12
[37] Biobase_2.36.2 robustbase_0.92-8 GetoptLong_0.1.6 flexmix_2.3-14
[41] AnnotationDbi_1.38.2 XML_3.98-1.10 blob_1.1.1 kernlab_0.9-25
[45] magrittr_1.5 whisker_0.3-2 BiocGenerics_0.22.1 scales_0.5.0
[49] modeltools_0.2-21 MASS_7.3-49 shape_1.4.4 colorspace_1.3-2
[53] RCurl_1.95-4.10 lazyeval_0.2.1 munsell_0.4.3 rjson_0.2.15