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Error in converting h5ad to h5Seurat Error: (converted from warning) Unknown file type: h5ad
Hi,
Thanks for developing this great tool.
I'm running into an error in Convert() step, stated that: Error: (converted from warning) Unknown file type: h5ad'.
My data was downloaded from the tutorial you provide.
Many thanks.
Regards, Sophia
url <- "https://seurat.nygenome.org/pbmc3k_final.h5ad"
curl::curl_download(url, basename(url))
Convert("pbmc3k_final.h5ad", dest = "h5seurat", overwrite = TRUE)
Error: (converted from warning) Unknown file type: h5ad
> sessionInfo()
R version 4.2.3 (2023-03-15 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)
Matrix products: default
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.utf8 LC_CTYPE=Chinese (Simplified)_China.utf8 LC_MONETARY=Chinese (Simplified)_China.utf8 LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.utf8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] SeuratDisk_0.0.0.9020 readr_2.1.4 ComplexHeatmap_2.15.4 RColorBrewer_1.1-3 Hmisc_5.1-0 corrplot_0.92
[7] circlize_0.4.15 scales_1.2.1 datapasta_3.1.0 cowplot_1.1.1 dplyr_1.1.2 patchwork_1.1.2
[13] ggplot2_3.4.2 stxBrain.SeuratData_0.1.1 SeuratData_0.2.2.9001 Seurat_4.9.9.9045 SeuratObject_4.9.9.9084 sp_1.6-0
loaded via a namespace (and not attached):
[1] utf8_1.2.3 spatstat.explore_3.2-1 reticulate_1.28 tidyselect_1.2.0 htmlwidgets_1.6.2 Rtsne_0.16
[7] munsell_0.5.0 ragg_1.2.5 codetools_0.2-19 ica_1.0-3 future_1.32.0 miniUI_0.1.1.1
[13] withr_2.5.0 spatstat.random_3.1-5 colorspace_2.1-0 progressr_0.13.0 Biobase_2.58.0 knitr_1.43
[19] rstudioapi_0.14 stats4_4.2.3 ROCR_1.0-11 tensor_1.5 listenv_0.9.0 MatrixGenerics_1.10.0
[25] labeling_0.4.2 GenomeInfoDbData_1.2.9 polyclip_1.10-4 bit64_4.0.5 farver_2.1.1 parallelly_1.36.0
[31] vctrs_0.6.2 generics_0.1.3 xfun_0.39 R6_2.5.1 doParallel_1.0.17 GenomeInfoDb_1.34.9
[37] clue_0.3-64 hdf5r_1.3.8 bitops_1.0-7 spatstat.utils_3.0-3 DelayedArray_0.24.0 vroom_1.6.3
[43] promises_1.2.0.1 nnet_7.3-19 gtable_0.3.3 globals_0.16.2 goftest_1.2-3 spam_2.9-1
[49] rlang_1.1.1 systemfonts_1.0.4 GlobalOptions_0.1.2 splines_4.2.3 lazyeval_0.2.2 spatstat.geom_3.2-1
[55] checkmate_2.2.0 reshape2_1.4.4 abind_1.4-5 backports_1.4.1 httpuv_1.6.11 tools_4.2.3
[61] ellipsis_0.3.2 BiocGenerics_0.44.0 ggridges_0.5.4 Rcpp_1.0.10 plyr_1.8.8 base64enc_0.1-3
[67] sparseMatrixStats_1.10.0 zlibbioc_1.44.0 purrr_1.0.1 RCurl_1.98-1.12 rpart_4.1.19 deldir_1.0-9
[73] pbapply_1.7-0 GetoptLong_1.0.5 viridis_0.6.3 S4Vectors_0.36.2 zoo_1.8-12 SummarizedExperiment_1.28.0
[79] ggrepel_0.9.3 cluster_2.1.4 magrittr_2.0.3 data.table_1.14.8 RSpectra_0.16-1 glmGamPoi_1.10.2
[85] scattermore_1.1 openxlsx_4.2.5.2 lmtest_0.9-40 RANN_2.6.1 fitdistrplus_1.1-11 matrixStats_0.63.0
[91] hms_1.1.3 evaluate_0.21 mime_0.12 xtable_1.8-4 fastDummies_1.6.3 IRanges_2.32.0
[97] gridExtra_2.3 shape_1.4.6 compiler_4.2.3 tibble_3.2.1 KernSmooth_2.23-21 crayon_1.5.2
[103] htmltools_0.5.5 tzdb_0.4.0 later_1.3.1 Formula_1.2-5 tidyr_1.3.0 MASS_7.3-60
[109] rappdirs_0.3.3 Matrix_1.5-4.1 cli_3.6.1 parallel_4.2.3 dotCall64_1.0-2 igraph_1.4.3
[115] GenomicRanges_1.50.2 pkgconfig_2.0.3 foreign_0.8-84 plotly_4.10.2 spatstat.sparse_3.0-1 foreach_1.5.2
[121] XVector_0.38.0 stringr_1.5.0 digest_0.6.31 sctransform_0.3.5 RcppAnnoy_0.0.20 spatstat.data_3.0-1
[127] rmarkdown_2.22 leiden_0.4.3 htmlTable_2.4.1 dendextend_1.17.1 uwot_0.1.14 DelayedMatrixStats_1.20.0
[133] curl_5.0.0 shiny_1.7.4 rjson_0.2.21 lifecycle_1.0.3 nlme_3.1-162 jsonlite_1.8.4
[139] viridisLite_0.4.2 fansi_1.0.4 pillar_1.9.0 lattice_0.21-8 fastmap_1.1.1 httr_1.4.6
[145] survival_3.5-5 glue_1.6.2 zip_2.3.0 png_0.1-8 iterators_1.0.14 bit_4.0.5
[151] stringi_1.7.12 textshaping_0.3.6 RcppHNSW_0.4.1 irlba_2.3.5.1 future.apply_1.11.0
Did you load all the required libraries?
library(Seurat)
library(SeuratData)
library(SeuratDisk)