Deleted:Error in dimnamesGets(x, value) when trying to read data using Seurat package
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Gen • 0
@8e62095b
Last seen 18 months ago
United States

I am trying to create a Seurat object using the package "Seurat". When I am reading my raw files using the function Read10X, I am getting this error- Error in dimnamesGets(x, value) : length of Dimnames[[1]] (45948) is not equal to Dim[1] (45947).

I am unsure how to resolve this issue.

RsessionInfo:


R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

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

other attached packages:
[1] sp_1.5-0           SeuratObject_4.1.1 Seurat_4.1.1       Matrix_1.5-1      

loaded via a namespace (and not attached):
  [1] nlme_3.1-153          spatstat.sparse_2.1-1 matrixStats_0.62.0    RcppAnnoy_0.0.19     
  [5] RColorBrewer_1.1-3    httr_1.4.4            sctransform_0.3.4     tools_4.1.2          
  [9] utf8_1.2.2            R6_2.5.1              irlba_2.3.5           rpart_4.1-15         
 [13] KernSmooth_2.23-20    uwot_0.1.14           mgcv_1.8-38           rgeos_0.5-9          
 [17] DBI_1.1.3             lazyeval_0.2.2        colorspace_2.0-3      tidyselect_1.1.2     
 [21] gridExtra_2.3         compiler_4.1.2        progressr_0.11.0      cli_3.4.0            
 [25] plotly_4.10.0         scales_1.2.1          lmtest_0.9-40         spatstat.data_2.2-0  
 [29] ggridges_0.5.3        pbapply_1.5-0         goftest_1.2-3         stringr_1.4.1        
 [33] digest_0.6.29         spatstat.utils_2.3-1  pkgconfig_2.0.3       htmltools_0.5.3      
 [37] parallelly_1.32.1     fastmap_1.1.0         htmlwidgets_1.5.4     rlang_1.0.5          
 [41] rstudioapi_0.14       shiny_1.7.2           generics_0.1.3        zoo_1.8-10           
 [45] jsonlite_1.8.0        spatstat.random_2.2-0 ica_1.0-3             dplyr_1.0.10         
 [49] magrittr_2.0.3        patchwork_1.1.2       Rcpp_1.0.9            munsell_0.5.0        
 [53] fansi_1.0.3           abind_1.4-5           reticulate_1.26       lifecycle_1.0.2      
 [57] stringi_1.7.6         MASS_7.3-54           Rtsne_0.16            plyr_1.8.7           
 [61] grid_4.1.2            parallel_4.1.2        listenv_0.8.0         promises_1.2.0.1     
 [65] ggrepel_0.9.1         deldir_1.0-6          miniUI_0.1.1.1        lattice_0.20-45      
 [69] cowplot_1.1.1         splines_4.1.2         tensor_1.5            pillar_1.8.1         
 [73] igraph_1.3.4          spatstat.geom_2.4-0   future.apply_1.9.1    reshape2_1.4.4       
 [77] codetools_0.2-18      leiden_0.4.3          glue_1.6.2            data.table_1.14.2    
 [81] png_0.1-7             vctrs_0.4.1           httpuv_1.6.6          polyclip_1.10-0      
 [85] gtable_0.3.1          RANN_2.6.1            purrr_0.3.4           spatstat.core_2.4-4  
 [89] tidyr_1.2.1           scattermore_0.8       future_1.28.0         assertthat_0.2.1     
 [93] ggplot2_3.3.6         mime_0.12             xtable_1.8-4          later_1.3.0          
 [97] survival_3.2-13       viridisLite_0.4.1     tibble_3.1.8          cluster_2.1.2        
[101] globals_0.16.1        fitdistrplus_1.1-8    ellipsis_0.3.2        ROCR_1.0-11
SingleCell seurat scRNAseq • 357 views
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