Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Velocyto- Seurat - invalid class “LogMap” object: Duplicate rownames not allowed #177

Open
Ruba-Mahmoud opened this issue Jan 12, 2024 · 3 comments

Comments

@Ruba-Mahmoud
Copy link

Hello, first thank you for developing such great tools
I am Ruba PhD student in Germany and I am doing scRNAseq analysis for my data, I wanted to check the velocity and so I generated the loom files by velacyto, I wanted to continue with Seurat with .r but unfortunately am facing some errors, I looked many published errors, tried to downgrade the Matrix Package (where Seurat didn't work anymore) I had to upgrade it again, the error am facing is | | 0%Error in validObject(.Object) :
invalid class “LogMap” object: Duplicate rownames not allowed
taking into account there's no duplicated rownames could somebody kindly look into it and give an advice if something could be done so I can go through the velocity analysis in the end.

thank you in advance

Kind regards!

library(Seurat)
library(SeuratWrappers)
library(velocyto.R)
library(Matrix)


ldat <- ReadVelocity(file = "E11.5.possorted_genome_bam_BX5BE.loom")
Seurat::bm <- as.Seurat(x= ldat)


output

  |                                                                                                                                          |   0%Error in validObject(.Object) : 
  invalid classLogMapobject: Duplicate rownames not allowed 

any(duplicated(rownames(ldat)))
[1] FALSE

> class(ldat)
[1] "list"

> str(ldat)
List of 3
 $ spliced  :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
  .. ..@ i       : int [1:12963443] 100 110 111 177 263 376 461 467 472 500 ...
  .. ..@ p       : int [1:14699] 0 679 1555 2345 3484 3870 5098 6066 7591 8934 ...
  .. ..@ Dim     : int [1:2] 32285 14698
  .. ..@ Dimnames:List of 2
  .. .. ..$ : chr [1:32285] "AC125149.3" "AC125149.5" "AC125149.2" "AC125149.1" ...
  .. .. ..$ : chr [1:14698] "possorted_genome_bam_BX5BE:AAAGCAACAGGTCGTCx" "possorted_genome_bam_BX5BE:AAAGCAATCTGCGTAAx" "possorted_genome_bam_BX5BE:AAACGGGCAGATGAGCx" "possorted_genome_bam_BX5BE:AAAGCAAGTACAGTTCx" ...
  .. ..@ x       : num [1:12963443] 1 2 1 1 1 1 1 1 2 1 ...
  .. ..@ factors : list()
 $ unspliced:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
  .. ..@ i       : int [1:7903683] 195 411 501 526 548 586 615 723 851 985 ...
  .. ..@ p       : int [1:14699] 0 309 579 864 1999 2017 2490 2712 4181 4807 ...
  .. ..@ Dim     : int [1:2] 32285 14698
  .. ..@ Dimnames:List of 2
  .. .. ..$ : chr [1:32285] "AC125149.3" "AC125149.5" "AC125149.2" "AC125149.1" ...
  .. .. ..$ : chr [1:14698] "possorted_genome_bam_BX5BE:AAAGCAACAGGTCGTCx" "possorted_genome_bam_BX5BE:AAAGCAATCTGCGTAAx" "possorted_genome_bam_BX5BE:AAACGGGCAGATGAGCx" "possorted_genome_bam_BX5BE:AAAGCAAGTACAGTTCx" ...
  .. ..@ x       : num [1:7903683] 2 3 2 1 1 1 3 1 1 1 ...
  .. ..@ factors : list()
 $ ambiguous:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
  .. ..@ i       : int [1:1881126] 214 274 615 738 783 867 1469 2097 2828 2954 ...
  .. ..@ p       : int [1:14699] 0 85 160 245 453 481 617 714 1038 1231 ...
  .. ..@ Dim     : int [1:2] 32285 14698
  .. ..@ Dimnames:List of 2
  .. .. ..$ : chr [1:32285] "AC125149.3" "AC125149.5" "AC125149.2" "AC125149.1" ...
  .. .. ..$ : chr [1:14698] "possorted_genome_bam_BX5BE:AAAGCAACAGGTCGTCx" "possorted_genome_bam_BX5BE:AAAGCAATCTGCGTAAx" "possorted_genome_bam_BX5BE:AAACGGGCAGATGAGCx" "possorted_genome_bam_BX5BE:AAAGCAAGTACAGTTCx" ...
  .. ..@ x       : num [1:1881126] 1 1 1 1 1 2 1 1 1 1 ...
  .. ..@ factors : list()

> sessionInfo()
R version 4.3.2 (2023-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22621)

Matrix products: default


locale:
[1] LC_COLLATE=English_United States.utf8  LC_CTYPE=English_United States.utf8    LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C                           LC_TIME=English_United States.utf8    

time zone: Europe/Berlin
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] velocyto.R_0.6       Matrix_1.6-4         SeuratWrappers_0.3.2 Seurat_5.0.1         SeuratObject_5.0.1   sp_2.1-2            

loaded via a namespace (and not attached):
  [1] RColorBrewer_1.1-3     rstudioapi_0.15.0      jsonlite_1.8.8         magrittr_2.0.3         spatstat.utils_3.0-4   fs_1.6.3              
  [7] vctrs_0.6.4            ROCR_1.0-11            memoise_2.0.1          spatstat.explore_3.2-5 htmltools_0.5.7        usethis_2.2.2         
 [13] sctransform_0.4.1      parallelly_1.36.0      KernSmooth_2.23-22     htmlwidgets_1.6.4      ica_1.0-3              plyr_1.8.9            
 [19] plotly_4.10.3          zoo_1.8-12             cachem_1.0.8           igraph_1.6.0           mime_0.12              lifecycle_1.0.4       
 [25] pkgconfig_2.0.3        rsvd_1.0.5             R6_2.5.1               fastmap_1.1.1          fitdistrplus_1.1-11    future_1.33.1         
 [31] shiny_1.8.0            digest_0.6.33          pcaMethods_1.92.0      colorspace_2.1-0       patchwork_1.2.0        tensor_1.5            
 [37] RSpectra_0.16-1        irlba_2.3.5.1          pkgload_1.3.3          progressr_0.14.0       fansi_1.0.6            spatstat.sparse_3.0-3 
 [43] httr_1.4.7             polyclip_1.10-6        abind_1.4-5            mgcv_1.9-0             compiler_4.3.2         remotes_2.4.2.1       
 [49] bit64_4.0.5            fastDummies_1.7.3      pkgbuild_1.4.3         R.utils_2.12.3         MASS_7.3-60            sessioninfo_1.2.2     
 [55] tools_4.3.2            lmtest_0.9-40          httpuv_1.6.12          future.apply_1.11.1    goftest_1.2-3          R.oo_1.25.0           
 [61] glue_1.6.2             nlme_3.1-163           promises_1.2.1         grid_4.3.2             Rtsne_0.17             cluster_2.1.4         
 [67] reshape2_1.4.4         generics_0.1.3         hdf5r_1.3.8            gtable_0.3.4           spatstat.data_3.0-3    R.methodsS3_1.8.2     
 [73] tidyr_1.3.0            data.table_1.14.10     utf8_1.2.4             BiocGenerics_0.48.1    spatstat.geom_3.2-7    RcppAnnoy_0.0.21      
 [79] ggrepel_0.9.5          RANN_2.6.1             pillar_1.9.0           stringr_1.5.1          spam_2.10-0            RcppHNSW_0.5.0        
 [85] later_1.3.1            splines_4.3.2          dplyr_1.1.4            lattice_0.21-9         bit_4.0.5              survival_3.5-7        
 [91] deldir_2.0-2           tidyselect_1.2.0       miniUI_0.1.1.1         pbapply_1.7-2          gridExtra_2.3          scattermore_1.2       
 [97] Biobase_2.62.0         devtools_2.4.5         matrixStats_1.2.0      stringi_1.8.3          lazyeval_0.2.2         codetools_0.2-19      
[103] tibble_3.2.1           BiocManager_1.30.22    cli_3.6.1              uwot_0.1.16            xtable_1.8-4           reticulate_1.34.0     
[109] munsell_0.5.0          Rcpp_1.0.11            globals_0.16.2         spatstat.random_3.2-2  png_0.1-8              parallel_4.3.2        
[115] ellipsis_0.3.2         ggplot2_3.4.4          dotCall64_1.1-1        profvis_0.3.8          urlchecker_1.0.1       listenv_0.9.0         
[121] viridisLite_0.4.2      scales_1.3.0           ggridges_0.5.5         leiden_0.4.3.1         purrr_1.0.2            rlang_1.1.2           
[127] cowplot_1.1.2
@fariznazir
Copy link

Hi, please check for duplicate column names in the infercnv object's expression and the counts matrix. If you do, then getting rid of them will help. I was running CNV analysis and had to remove duplicate column names to get rid of the error.

@xgqyoung
Copy link

Hi. I got the same error, have you solved yet?

@jwtobias
Copy link

Also hoping for a solution.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants