Open sunil1learn opened 5 years ago
The function to use is now called load_cellranger_data
, I'd give that a try.
I am getting Error: object 'load_cellranger_matrix' not found.
?load_cellranger_data No documentation for ‘load_cellranger_data’ in specified packages and libraries: you could try ‘??load_cellranger_data’
?load_cellranger_data() Error in .helpForCall(topicExpr, parent.frame()) : no methods for ‘load_cellranger_data’ and no documentation for it as a function
Ah, I think it's a problem generating the documentation, one second
So the issue is that the branch you are using does not contain the code to load cellranger data, you'd have to use the old branch. I also found a typo in the documentation on that branch, but it won't explain your problem.
branch means? Could you please provide the link of old branch.
Git has a concept of branches, which are different versions of the related code. Based on your sessionInfo, you've installed code from the monocle3_alpha branch.
https://github.com/cole-trapnell-lab/monocle-release/tree/monocle3_alpha
Whereas the functions to load cellranger data are only available on the master branch
https://github.com/cole-trapnell-lab/monocle-release/tree/master
To install that other branch, you can do the following:
install.packages("devtools")
library(devtools)
install_github("cole-trapnell-lab/monocle-release")
But you may then be missing some features available in the 3.0 release
Got it. Thank you very much for your help. Appreciated.
thanks @evolvedmicrobe! we will integrate this function to our next monocle 3 release soon
@Xiaojieqiu not a problem at all! I opened up a couple PRs to fix the typo on the master branch and also add that functionality into the new 3.0 branch.
I have loaded the most current version of monocle via Bioconductor, and have a similar issue:
cellranger_pipestance_path <- "/data1/melanoma_scRNA/ALL" cell_data <- load_cellranger_data(cellranger_pipestance_path)
Error in load_cellranger_data(cellranger_pipestance_path) : could not find function "load_cellranger_data"
Do I need to change the version of monocle to use this function, @evolvedmicrobe ?
If your sessionInfo says monocle_2.99.3
, then yes.
Hi, I am having trouble in import cell ranger 3 data in Monocle3. Earlier cell ranger 2 was working fine with Monocle2 library. load_cellranger_data is not working. Error: object 'load_cellranger_matrix' not found. Please see below my session info.
R version 3.5.2 (2018-12-20) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS High Sierra 10.13.6
Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.5/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] parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages: [1] monocle_2.99.3 L1Graph_0.1.1 lpSolveAPI_5.5.2.0-17 DDRTree_0.1.5
[5] irlba_2.3.3 igraph_1.2.4 ggplot2_3.1.0 Biobase_2.42.0
[9] DelayedArray_0.8.0 BiocParallel_1.16.6 IRanges_2.16.0 S4Vectors_0.20.1
[13] BiocGenerics_0.28.0 matrixStats_0.54.0 Matrix_1.2-15
loaded via a namespace (and not attached): [1] Rtsne_0.15 VGAM_1.1-1 colorspace_1.4-0 deldir_0.1-16
[5] class_7.3-15 rprojroot_1.3-2 fs_1.2.6 rstudioapi_0.9.0
[9] listenv_0.7.0 remotes_2.0.2 ggrepel_0.8.0 codetools_0.2-16
[13] splines_3.5.2 docopt_0.6.1 doParallel_1.0.14 knitr_1.21
[17] pkgload_1.0.2 jsonlite_1.6 cluster_2.0.7-1 pheatmap_1.0.12
[21] shiny_1.2.0 compiler_3.5.2 httr_1.4.0 backports_1.1.3
[25] assertthat_0.2.0 lazyeval_0.2.1 limma_3.38.3 cli_1.0.1
[29] later_0.8.0 htmltools_0.3.6 prettyunits_1.0.2 tools_3.5.2
[33] coda_0.19-2 gtable_0.2.0 glue_1.3.0 RANN_2.6.1
[37] reshape2_1.4.3 dplyr_0.8.0.1 gmodels_2.18.1 Rcpp_1.0.0
[41] slam_0.1-44 spdep_1.0-2 gdata_2.18.0 nlme_3.1-137
[45] iterators_1.0.10 crosstalk_1.0.0 xfun_0.5 stringr_1.4.0
[49] globals_0.12.4 ps_1.3.0 mime_0.6 miniUI_0.1.1.1
[53] gtools_3.8.1 devtools_2.0.1 future_1.11.1.1 LearnBayes_2.15.1
[57] MASS_7.3-51.1 scales_1.0.0 promises_1.0.1 expm_0.999-3
[61] RColorBrewer_1.1-2 memoise_1.1.0 pbapply_1.4-0 gridExtra_2.3
[65] fastICA_1.2-1 stringi_1.3.1 desc_1.2.0 foreach_1.4.4
[69] e1071_1.7-0.1 boot_1.3-20 densityClust_0.3 pkgbuild_1.0.2
[73] manipulateWidget_0.10.0 spData_0.3.0 rlang_0.3.1 pkgconfig_2.0.2
[77] rgl_0.99.16 qlcMatrix_0.9.7 lattice_0.20-38 purrr_0.3.0
[81] sf_0.7-3 htmlwidgets_1.3 processx_3.2.1 tidyselect_0.2.5
[85] plyr_1.8.4 magrittr_1.5 R6_2.4.0 DBI_1.0.0
[89] pillar_1.3.1 withr_2.1.2 units_0.6-2 sp_1.3-1
[93] tibble_2.0.1 crayon_1.3.4 plotly_4.8.0 viridis_0.5.1
[97] usethis_1.4.0 grid_3.5.2 data.table_1.12.0 FNN_1.1.3
[101] callr_3.1.1 HSMMSingleCell_1.2.0 sparsesvd_0.1-4 digest_0.6.18
[105] classInt_0.3-1 webshot_0.5.1 pbmcapply_1.3.1 xtable_1.8-3
[109] tidyr_0.8.2 httpuv_1.4.5.1 munsell_0.5.0 glmnet_2.0-16
[113] viridisLite_0.3.0 sessioninfo_1.1.1