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Showing content from https://github.com/stuart-lab/signac/issues/803 below:

Cells argument in FeatureMatrix · Issue #803 · stuart-lab/signac · GitHub

Hi there,

What exactly is the format of the cells argument in the function FeatureMatrix? I am passing the barcode names from CountFragments, and FeatureMatrix returns NULL.

In the example below, all barcodes that I am interested in filtering (target_cells) are present in the large matrix out_all. But whenever I pass cells = target_cells in FeatureMatrix, I get NULL as the output.

> library(Signac)
> library(GenomicRanges)
> frag_path <- '~/fragments.tsv.gz'
> peak_path <- '~/peaks.bed'
> frag_object <- CreateFragmentObject(frag_path,verbose = TRUE)
Computing hash
> 
> frag_counts <- CountFragments(fragments = frag_path)
> 
> target_cells <- frag_counts[frag_counts$frequency_count > 1000, "CB"]
> 
> head(target_cells)
[1] "CTAGGATTCTTGTGCC-1" "CAGGATTGTTACGGAG-1" "GCGCCAAGTCACAGTT-1" "GCACGCAAGTACGCGA-1" "TGCTATTCATGGCCCA-1"
[6] "CCCTGATCATCATCGA-1"
> length(target_cells)
[1] 57
> 
> feat <- GenomicRanges::makeGRangesFromDataFrame(df = read.table(peak_path),
+                                                 seqnames.field = 'V1',
+                                                 start.field = 'V2',
+                                                 end.field = 'V3')
> feat
GRanges object with 8024 ranges and 0 metadata columns:
           seqnames            ranges strand
              <Rle>         <IRanges>  <Rle>
     [1]       chr1   4807482-4808370      *
     [2]       chr1   4857304-4858176      *
     [3]       chr1   5022457-5023326      *
     [4]       chr1   7088433-7089350      *
     [5]       chr1   7397617-7398457      *
     ...        ...               ...    ...
  [8020]       chrY 90808457-90809289      *
  [8021]       chrY 90812575-90813471      *
  [8022] JH584304.1       59182-60057      *
  [8023] GL456216.1       15533-16423      *
  [8024] GL456216.1       16735-17567      *
  -------
  seqinfo: 23 sequences from an unspecified genome; no seqlengths
> 
> out_all <- FeatureMatrix(fragments = frag_object,
+                          features = feat,
+                          verbose = TRUE)
Extracting reads overlapping genomic regions
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=11s  
> 
> all(target_cells %in% colnames(out_all))
[1] TRUE
> 
> out_cells <- FeatureMatrix(fragments = frag_object,
+                            features = feat,
+                            verbose = TRUE,
+                            cells = target_cells)
> 
> out_cells
NULL
> 
> sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /stornext/System/data/apps/R/R-4.1.1/lib64/R/lib/libRblas.so
LAPACK: /stornext/System/data/apps/R/R-4.1.1/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8       
 [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
[10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] GenomicRanges_1.44.0 GenomeInfoDb_1.28.4  IRanges_2.26.0       S4Vectors_0.30.0     BiocGenerics_0.38.0 
[6] Signac_1.4.0         devtools_2.4.2       usethis_2.0.1       

loaded via a namespace (and not attached):
  [1] fastmatch_1.1-3        plyr_1.8.6             igraph_1.2.6           lazyeval_0.2.2        
  [5] splines_4.1.1          BiocParallel_1.26.2    listenv_0.8.0          SnowballC_0.7.0       
  [9] scattermore_0.7        ggplot2_3.3.5          digest_0.6.27          htmltools_0.5.2       
 [13] fansi_0.5.0            magrittr_2.0.1         memoise_2.0.0          tensor_1.5            
 [17] cluster_2.1.2          ROCR_1.0-11            remotes_2.4.0          globals_0.14.0        
 [21] Biostrings_2.60.2      matrixStats_0.61.0     docopt_0.7.1           spatstat.sparse_2.0-0 
 [25] prettyunits_1.1.1      colorspace_2.0-2       ggrepel_0.9.1          dplyr_1.0.7           
 [29] sparsesvd_0.2          callr_3.7.0            crayon_1.4.1           RCurl_1.98-1.5        
 [33] jsonlite_1.7.2         spatstat.data_2.1-0    survival_3.2-13        zoo_1.8-9             
 [37] glue_1.4.2             polyclip_1.10-0        gtable_0.3.0           zlibbioc_1.38.0       
 [41] XVector_0.32.0         leiden_0.3.9           pkgbuild_1.2.0         future.apply_1.8.1    
 [45] abind_1.4-5            scales_1.1.1           DBI_1.1.1              miniUI_0.1.1.1        
 [49] Rcpp_1.0.7             viridisLite_0.4.0      xtable_1.8-4           reticulate_1.22       
 [53] spatstat.core_2.3-0    htmlwidgets_1.5.4      httr_1.4.2             RColorBrewer_1.1-2    
 [57] ellipsis_0.3.2         Seurat_4.0.4           ica_1.0-2              farver_2.1.0          
 [61] pkgconfig_2.0.3        ggseqlogo_0.1          uwot_0.1.10            deldir_0.2-10         
 [65] utf8_1.2.2             tidyselect_1.1.1       rlang_0.4.11           reshape2_1.4.4        
 [69] later_1.3.0            munsell_0.5.0          tools_4.1.1            cachem_1.0.6          
 [73] cli_3.0.1              generics_0.1.0         ggridges_0.5.3         stringr_1.4.0         
 [77] fastmap_1.1.0          goftest_1.2-2          processx_3.5.2         fs_1.5.0              
 [81] fitdistrplus_1.1-5     purrr_0.3.4            RANN_2.6.1             pbapply_1.5-0         
 [85] future_1.22.1          nlme_3.1-153           mime_0.11              slam_0.1-48           
 [89] RcppRoll_0.3.0         compiler_4.1.1         rstudioapi_0.13        plotly_4.9.4.1        
 [93] png_0.1-7              testthat_3.0.4         spatstat.utils_2.2-0   tibble_3.1.4          
 [97] tweenr_1.0.2           stringi_1.7.4          ps_1.6.0               desc_1.3.0            
[101] lattice_0.20-44        Matrix_1.3-4           vctrs_0.3.8            pillar_1.6.2          
[105] lifecycle_1.0.0        spatstat.geom_2.2-2    lmtest_0.9-38          RcppAnnoy_0.0.19      
[109] data.table_1.14.0      cowplot_1.1.1          bitops_1.0-7           irlba_2.3.3           
[113] httpuv_1.6.3           patchwork_1.1.1        R6_2.5.1               promises_1.2.0.1      
[117] lsa_0.73.2             KernSmooth_2.23-20     gridExtra_2.3          parallelly_1.28.1     
[121] sessioninfo_1.1.1      codetools_0.2-18       MASS_7.3-54            assertthat_0.2.1      
[125] pkgload_1.2.2          rprojroot_2.0.2        withr_2.4.2            SeuratObject_4.0.2    
[129] qlcMatrix_0.9.7        sctransform_0.3.2      Rsamtools_2.8.0        GenomeInfoDbData_1.2.6
[133] mgcv_1.8-36            grid_4.1.1             rpart_4.1-15           tidyr_1.1.3           
[137] Rtsne_0.15             ggforce_0.3.3          shiny_1.7.0 

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