Open Pedramto89 opened 2 years ago
This is due to the compilation error in the Rhtslib
package. You can check out this issue for more details https://github.com/Bioconductor/Rhtslib/issues/23#issuecomment-848448454 and a temporary solution until Bioconductor officially supports ARM M1 macs.
Before the official support for M1 arrives, it's probably easier to install the intel version of R and emulation by Rosetta 2.
Thank you @ccwang002 . I could finally solve it. It goes back to M1 macs. I installed the other version of R and then I successfully installed the ensembldb. Now, I have another issue. I want to execute the following code but gives me an error:
annotations <- genes(x = edb, return.type = "data.frame")
Error: Error in genes(x = edb, return.type = "data.frame") : unused arguments (x = edb, return.type = "data.frame")
Can you please ensure that edb
is in fact an EnsDb
database (i.e. that class(edb)
returns EnsDb
)? Also, make sure that you load the ensembldb
package with library(ensembldb)
. There is also a genes
function for TxDb
databases/annotation resources from the GenomicFeatures
package which does not have the argument return.type
. So, if edb
was something else than an EnsDb
it could be that another genes
method than the one from ensembldb
is called.
Thanks. This is what I got:
class(edb) [1] "EnsDb" attr(,"package") [1] "ensembldb"
However, I still get the same error
can you please post the output from sessionInfo()
?
Sorry If I may answer late because of the time zone. Here is the sessionInfo():
sessionInfo() R version 4.1.2 (2021-11-01) Platform: x86_64-apple-darwin17.0 (64-bit) Running under: macOS Monterey 12.0.1
Matrix products: default LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages: [1] grid stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] MAST_1.20.0 SingleCellExperiment_1.16.0 SummarizedExperiment_1.24.0 MatrixGenerics_1.6.0
[5] matrixStats_0.61.0 limma_3.50.0 metap_1.6 multtest_2.50.0
[9] future_1.23.0 forcats_0.5.1 stringr_1.4.0 purrr_0.3.4
[13] readr_2.1.1 tidyr_1.1.4 tibble_3.1.6 ggplot2_3.3.5
[17] tidyverse_1.3.1 cowplot_1.1.1 Rgraphviz_2.38.0 topGO_2.46.0
[21] SparseM_1.81 GO.db_3.14.0 graph_1.72.0 ReactomeGSA_1.8.0
[25] dplyr_1.0.7.9000 sctransform_0.3.2 patchwork_1.1.1 here_1.0.1
[29] ensembldb_2.18.2 AnnotationFilter_1.18.0 GenomicFeatures_1.46.1 AnnotationDbi_1.56.2
[33] Biobase_2.54.0 GenomicRanges_1.46.1 GenomeInfoDb_1.30.0 IRanges_2.28.0
[37] S4Vectors_0.32.3 SeuratObject_4.0.4 Seurat_4.0.5 AnnotationHub_3.2.0
[41] BiocFileCache_2.2.0 dbplyr_2.1.1 BiocGenerics_0.40.0
loaded via a namespace (and not attached):
[1] utf8_1.2.2 reticulate_1.22 tidyselect_1.1.1
[4] RSQLite_2.2.9 htmlwidgets_1.5.4 BiocParallel_1.28.3
[7] Rtsne_0.15 munsell_0.5.0 mutoss_0.1-12
[10] codetools_0.2-18 ica_1.0-2 miniUI_0.1.1.1
[13] withr_2.4.3 colorspace_2.0-2 filelock_1.0.2
[16] knitr_1.36 rstudioapi_0.13 ROCR_1.0-11
[19] tensor_1.5 listenv_0.8.0 Rdpack_2.1.3
[22] GenomeInfoDbData_1.2.7 mnormt_2.0.2 polyclip_1.10-0
[25] bit64_4.0.5 rprojroot_2.0.2 TH.data_1.1-0
[28] parallelly_1.29.0 vctrs_0.3.8 generics_0.1.1
[31] xfun_0.28 R6_2.5.1 bitops_1.0-7
[34] spatstat.utils_2.3-0 cachem_1.0.6 DelayedArray_0.20.0
[37] assertthat_0.2.1 promises_1.2.0.1 BiocIO_1.4.0
[40] scales_1.1.1 multcomp_1.4-17 gtable_0.3.0
[43] globals_0.14.0 goftest_1.2-3 sandwich_3.0-1
[46] rlang_0.99.0.9001 splines_4.1.2 rtracklayer_1.54.0
[49] lazyeval_0.2.2 spatstat.geom_2.3-1 broom_0.7.10
[52] modelr_0.1.8 BiocManager_1.30.16 yaml_2.2.1
[55] reshape2_1.4.4 abind_1.4-5 backports_1.4.1
[58] httpuv_1.6.3 tools_4.1.2 ellipsis_0.3.2
[61] gplots_3.1.1 spatstat.core_2.3-2 RColorBrewer_1.1-2
[64] ggridges_0.5.3 TFisher_0.2.0 Rcpp_1.0.7
[67] plyr_1.8.6 progress_1.2.2 zlibbioc_1.40.0
[70] RCurl_1.98-1.5 prettyunits_1.1.1 rpart_4.1-15
[73] deldir_1.0-6 pbapply_1.5-0 zoo_1.8-9
[76] haven_2.4.3 ggrepel_0.9.1 cluster_2.1.2
[79] fs_1.5.2 magrittr_2.0.1 data.table_1.14.2
[82] scattermore_0.7 reprex_2.0.1 lmtest_0.9-39
[85] RANN_2.6.1 tmvnsim_1.0-2 mvtnorm_1.1-3
[88] ProtGenerics_1.26.0 fitdistrplus_1.1-6 hms_1.1.1
[91] mime_0.12 evaluate_0.14 xtable_1.8-4
[94] XML_3.99-0.8 readxl_1.3.1 gridExtra_2.3
[97] compiler_4.1.2 biomaRt_2.50.1 KernSmooth_2.23-20
[100] crayon_1.4.2 htmltools_0.5.2 tzdb_0.2.0
[103] mgcv_1.8-38 later_1.3.0 lubridate_1.8.0
[106] DBI_1.1.1 MASS_7.3-54 rappdirs_0.3.3
[109] Matrix_1.4-0 cli_3.1.0 rbibutils_2.2.7
[112] parallel_4.1.2 igraph_1.2.9 pkgconfig_2.0.3
[115] sn_2.0.1 GenomicAlignments_1.30.0 numDeriv_2016.8-1.1
[118] plotly_4.10.0 spatstat.sparse_2.0-0 xml2_1.3.3
[121] XVector_0.34.0 rvest_1.0.2 digest_0.6.29
[124] RcppAnnoy_0.0.19 spatstat.data_2.1-0 Biostrings_2.62.0
[127] cellranger_1.1.0 rmarkdown_2.11 leiden_0.3.9
[130] uwot_0.1.11 restfulr_0.0.13 curl_4.3.2
[133] shiny_1.7.1 Rsamtools_2.10.0 gtools_3.9.2
[136] rjson_0.2.20 lifecycle_1.0.1 nlme_3.1-153
[139] jsonlite_1.7.2 viridisLite_0.4.0 fansi_0.5.0
[142] pillar_1.6.4 lattice_0.20-45 plotrix_3.8-2
[145] KEGGREST_1.34.0 fastmap_1.1.0 httr_1.4.2
[148] survival_3.2-13 interactiveDisplayBase_1.32.0 glue_1.5.1
[151] png_0.1-7 BiocVersion_3.14.0 bit_4.0.4
[154] stringi_1.7.6 blob_1.2.2 caTools_1.18.2
[157] memoise_2.0.1 mathjaxr_1.4-0 irlba_2.3.5
[160] future.apply_1.8.1
Hm, strange. When you type genes
, get you the same than I do?
> genes
standardGeneric for "genes" defined from package "GenomicFeatures"
function (x, ...)
standardGeneric("genes")
<bytecode: 0x557246c8d5c0>
<environment: 0x557246ca44e8>
Methods may be defined for arguments: x
Use showMethods(genes) for currently available ones.
Maybe some other package defines another genes
function?
This is what I get:
standardGeneric for "genes" defined from package "GenomicFeatures"
function (x, ...) standardGeneric("genes") <bytecode: 0x7fc7337e9e38> <environment: 0x7fc7338142e8> Methods may be defined for arguments: x Use showMethods(genes) for currently available ones.
Very strange indeed. So it should work. Can you maybe try this minimal example (in a new R session, without loading any other R packages or data:
> library(ensembldb)
> library(EnsDb.Hsapiens.v86)
> edb <- EnsDb.Hsapiens.v86
> tmp <- genes(edb, return.type = "data.frame")
> head(tmp)
gene_id gene_name gene_biotype gene_seq_start
1 ENSG00000223972 DDX11L1 transcribed_unprocessed_pseudogene 11869
5 ENSG00000227232 WASH7P unprocessed_pseudogene 14404
6 ENSG00000278267 MIR6859-1 miRNA 17369
7 ENSG00000243485 MIR1302-2 lincRNA 29554
9 ENSG00000237613 FAM138A lincRNA 34554
12 ENSG00000268020 OR4G4P unprocessed_pseudogene 52473
gene_seq_end seq_name seq_strand seq_coord_system symbol
1 14409 1 1 chromosome DDX11L1
5 29570 1 -1 chromosome WASH7P
6 17436 1 -1 chromosome MIR6859-1
7 31109 1 1 chromosome MIR1302-2
9 36081 1 -1 chromosome FAM138A
12 53312 1 1 chromosome OR4G4P
entrezid
1 100287596, 100287102, 727856, 84771
5 NA
6 102466751
7 105376912, 100302278
9 654835, 645520, 641702
12 NA
Hello. I have a problem to install the 'ensembldb' package on my R studio, based on my Mac M1. However, I get several errors.
Error:
"cram/cram_io.c:61:10: fatal error: 'lzma.h' file not found
include
1 error generated. make[1]: [cram/cram_io.o] Error 1 make: [htslib] Error 2 ERROR: compilation failed for package ‘Rhtslib’
My R version:
Matrix products: default LAPACK: /Library/Frameworks/R.framework/Versions/4.1-arm64/Resources/lib/libRlapack.dylib
locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages: [1] stats graphics grDevices utils datasets methods base