Last updated: 2022-03-02
Checks: 5 2
Knit directory: BAUH_2020_MND-single-cell/analysis/
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Unstaged changes:
Modified: analysis/2022-01-07_pilot3_Cell-Calling-Comparison.Rmd
Modified: analysis/2022-02-28_pilot3_Cell-demultiplexing-Lenti.Rmd
Modified: analysis/2022-03-01_pilot3_cellbender.Rmd
Modified: analysis/2022-03-01_pilot3_dropkick.Rmd
Modified: code/get_barcodes_to_use.R
Modified: config/config_pilot3.0_MN.yml
Modified: config/config_pilot3.0_iPSC.yml
Modified: workflow/Snakefile
Modified: workflow/rules_cellcalling.smk
Modified: workflow/rules_demultiplexing.smk
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Very strong overlap between methods, current exception is that cellbender won’t return more cells than specified in the –total-droplets-included parameter. This parameter should be set to be a few thousand barcodes into the empty droplet plateau. Which I set to 20 for all captures, but should increase to at least 50k in a future run of cellbender.
<- readRDS(paste0(ipsc_dir, "Capture5-GEX/combination_matrix.rds"))
c5 UpSet(c5, set_order = c("CellRanger", "cellbender", "dropkick", "DropletQC"),
comb_col = c("#B0DBF1", "#253DA1", "#1D2570", "#000137")[comb_degree(c5)])
ACTION ITEM: rerun cellbender on iPSCs with –total-droplets-included=60k
<- readRDS(paste0(mn_dir, "Capture1-GEX/combination_matrix.rds"))
c1 UpSet(c1, set_order = c("CellRanger", "cellbender", "dropkick", "DropletQC"),
comb_col = c("#B0DBF1", "#253DA1", "#1D2570", "#000137")[comb_degree(c1)])
<- readRDS(paste0(mn_dir, "Capture2-GEX/combination_matrix.rds"))
c2 UpSet(c2, set_order = c("CellRanger", "cellbender", "dropkick", "DropletQC"),
comb_col = c("#B0DBF1", "#253DA1", "#1D2570", "#000137")[comb_degree(c2)])
<- readRDS(paste0(mn_dir, "Capture3-GEX/combination_matrix.rds"))
c3 UpSet(c3, set_order = c("CellRanger", "cellbender", "dropkick", "DropletQC"),
comb_col = c("#B0DBF1", "#253DA1", "#1D2570", "#000137")[comb_degree(c3)])
<- readRDS(paste0(mn_dir, "Capture4-GEX/combination_matrix.rds"))
c4 UpSet(c4, set_order = c("CellRanger", "cellbender", "dropkick", "DropletQC"),
comb_col = c("#B0DBF1", "#253DA1", "#1D2570", "#000137")[comb_degree(c4)])
sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux 8.5 (Ootpa)
Matrix products: default
BLAS/LAPACK: /usr/lib64/libopenblasp-r0.3.12.so
locale:
[1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] ComplexHeatmap_2.10.0 ggvenn_0.1.9 ggplot2_3.3.5
[4] data.table_1.14.2 tidyr_1.1.4 dplyr_1.0.7
[7] cowplot_1.1.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.7 circlize_0.4.13 png_0.1-7
[4] assertthat_0.2.1 rprojroot_2.0.2 digest_0.6.29
[7] foreach_1.5.1 utf8_1.2.2 R6_2.5.1
[10] stats4_4.1.1 evaluate_0.14 highr_0.9
[13] pillar_1.6.4 GlobalOptions_0.1.2 rlang_0.4.12
[16] jquerylib_0.1.4 magick_2.7.3 S4Vectors_0.32.3
[19] GetoptLong_1.0.5 rmarkdown_2.11 stringr_1.4.0
[22] munsell_0.5.0 compiler_4.1.1 httpuv_1.6.5
[25] xfun_0.28 pkgconfig_2.0.3 BiocGenerics_0.40.0
[28] shape_1.4.6 htmltools_0.5.2 tidyselect_1.1.1
[31] tibble_3.1.6 workflowr_1.6.2 IRanges_2.28.0
[34] codetools_0.2-18 matrixStats_0.61.0 fansi_1.0.0
[37] crayon_1.4.2 withr_2.4.3 later_1.3.0
[40] jsonlite_1.7.2 gtable_0.3.0 lifecycle_1.0.1
[43] DBI_1.1.1 git2r_0.29.0 magrittr_2.0.1
[46] scales_1.1.1 stringi_1.7.6 fs_1.5.2
[49] promises_1.2.0.1 doParallel_1.0.16 bslib_0.3.1
[52] ellipsis_0.3.2 generics_0.1.1 vctrs_0.3.8
[55] rjson_0.2.20 RColorBrewer_1.1-2 iterators_1.0.13
[58] tools_4.1.1 glue_1.6.0 purrr_0.3.4
[61] parallel_4.1.1 fastmap_1.1.0 yaml_2.2.1
[64] clue_0.3-60 colorspace_2.0-2 cluster_2.1.2
[67] knitr_1.36 sass_0.4.0