Open danli349 opened 1 month ago
Hi @danli349! Thanks for using ArchR! Lately, it has been very challenging for me to keep up with maintenance of this package and all of my other responsibilities as a PI. I have not been responding to issue posts and I have not been pushing updates to the software. We are actively searching to hire a computational biologist to continue to develop and maintain ArchR and related tools. If you know someone who might be a good fit, please let us know! In the meantime, your issue will likely go without a reply. Most issues with ArchR right not relate to compatibility. Try reverting to R 4.1 and Bioconductor 3.15. Newer versions of Seurat and Matrix also are causing issues. Sorry for not being able to provide active support for this package at this time.
Hello, I use ArchR on a Unix-based R system, and the exact same issue happened to me. However, it is not a problem with ArchR itself, but rather with the compatibility of the different packages that ArchR relies on. After using the following packages, the plots were created successfully. This issue has already been discussed as well.
Here is my sessionInfo(). I hope this will be useful.
R version 4.2.2 (2022-10-31) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Rocky Linux 8.9 (Green Obsidian)
Matrix products: default BLAS/LAPACK: /cvmfs/soft.computecanada.ca/easybuild/software/2020/Core/flexiblas/3.0.4/lib64/libflexiblas.so.3.0
Random number generation: RNG: L'Ecuyer-CMRG Normal: Inversion Sample: Rejection
locale: [1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C [3] LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 [5] LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8 [7] LC_PAPER=en_US.utf8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
attached base packages: [1] parallel grid stats4 stats graphics grDevices utils [8] datasets methods base
other attached packages: [1] nabor_0.5.0 BSgenome.Hsapiens.UCSC.hg38_1.4.5 [3] Seurat_5.1.0 SeuratObject_5.0.2 [5] sp_2.1-4 DirichletMultinomial_1.40.0 [7] ggrastr_1.0.2 Cairo_1.6-2 [9] rhdf5_2.42.1 SummarizedExperiment_1.28.0 [11] Biobase_2.58.0 MatrixGenerics_1.10.0 [13] Rcpp_1.0.13 matrixStats_1.4.1 [15] data.table_1.16.0 stringr_1.5.1 [17] plyr_1.8.9 magrittr_2.0.3 [19] ggplot2_3.4.0 gtable_0.3.5 [21] gtools_3.9.5 gridExtra_2.3 [23] ArchR_1.0.2 BSgenome_1.66.3 [25] rtracklayer_1.58.0 Biostrings_2.66.0 [27] XVector_0.38.0 GenomicRanges_1.50.2 [29] GenomeInfoDb_1.34.9 IRanges_2.32.0 [31] S4Vectors_0.36.2 BiocGenerics_0.44.0 [33] RSpectra_0.16-2 irlba_2.3.5.1 [35] Matrix_1.6-4
loaded via a namespace (and not attached): [1] spatstat.univar_3.0-1 spam_2.10-0 igraph_2.0.3 [4] lazyeval_0.2.2 splines_4.2.2 RcppHNSW_0.6.0 [7] BiocParallel_1.32.6 listenv_0.9.1 scattermore_1.2 [10] digest_0.6.37 htmltools_0.5.8.1 fansi_1.0.6 [13] tensor_1.5 cluster_2.1.4 ROCR_1.0-11 [16] globals_0.16.3 spatstat.sparse_3.1-0 colorspace_2.1-1 [19] ggrepel_0.9.6 dplyr_1.1.4 tcltk_4.2.2 [22] crayon_1.5.3 RCurl_1.98-1.16 jsonlite_1.8.9 [25] progressr_0.14.0 spatstat.data_3.1-2 survival_3.4-0 [28] zoo_1.8-12 glue_1.7.0 polyclip_1.10-7 [31] zlibbioc_1.44.0 leiden_0.4.3.1 DelayedArray_0.24.0 [34] Rhdf5lib_1.20.0 future.apply_1.11.2 abind_1.4-8 [37] scales_1.3.0 spatstat.random_3.3-2 miniUI_0.1.1.1 [40] viridisLite_0.4.2 xtable_1.8-4 reticulate_1.39.0 [43] dotCall64_1.1-1 htmlwidgets_1.6.4 httr_1.4.7 [46] RColorBrewer_1.1-3 ica_1.0-3 pkgconfig_2.0.3 [49] XML_3.99-0.17 farver_2.1.2 uwot_0.2.2 [52] deldir_2.0-4 utf8_1.2.4 labeling_0.4.3 [55] tidyselect_1.2.1 rlang_1.1.4 reshape2_1.4.4 [58] later_1.3.2 munsell_0.5.1 tools_4.2.2 [61] cli_3.6.3 generics_0.1.3 ggridges_0.5.6 [64] fastmap_1.2.0 goftest_1.2-3 yaml_2.3.10 [67] fitdistrplus_1.2-1 purrr_1.0.2 RANN_2.6.2 [70] nlme_3.1-160 pbapply_1.7-2 future_1.34.0 [73] mime_0.12 compiler_4.2.2 beeswarm_0.4.0 [76] plotly_4.10.4 png_0.1-8 spatstat.utils_3.1-0 [79] tibble_3.2.1 stringi_1.8.4 lattice_0.20-45 [82] vctrs_0.6.5 pillar_1.9.0 lifecycle_1.0.4 [85] rhdf5filters_1.10.1 spatstat.geom_3.3-3 lmtest_0.9-40 [88] RcppAnnoy_0.0.22 cowplot_1.1.3 bitops_1.0-8 [91] httpuv_1.6.15 patchwork_1.3.0 R6_2.5.1 [94] BiocIO_1.8.0 promises_1.3.0 KernSmooth_2.23-20 [97] vipor_0.4.7 parallelly_1.38.0 codetools_0.2-18 [100] fastDummies_1.7.4 MASS_7.3-58.1 rjson_0.2.23 [103] withr_3.0.1 GenomicAlignments_1.34.1 sctransform_0.4.1 [106] Rsamtools_2.14.0 GenomeInfoDbData_1.2.9 tidyr_1.3.1 [109] Rtsne_0.17 spatstat.explore_3.3-2 shiny_1.9.1 [112] ggbeeswarm_0.7.2 restfulr_0.0.15
I run the codes in the documents: https://www.archrproject.com/bookdown/per-cell-quality-control.html
But
createArrowFiles
can't generate "QualityControl" plots (the plots are empty):How should I solve this problem?
Thanks a lot