Last updated: 2021-12-08

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Knit directory: Embryoid_Body_Pilot_Workflowr/analysis/

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/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5newlines.merge.all.SCTwRegressOrigIdent.Harmony.rds ../output/5newlines.merge.all.SCTwRegressOrigIdent.Harmony.rds
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5NEWLINES.BroadCellTypeCatAssignment.basedonclustersres0.15.csv ../output/5NEWLINES.BroadCellTypeCatAssignment.basedonclustersres0.15.csv
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/Fig2.5_5New_CleanOrig.pdf ../output/pdfs/Fig2.5_5New_CleanOrig.pdf
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.CleanOrig.png ../output/figs/Fig2.5.5New.CleanOrig.png
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.MainClust.png ../output/figs/Fig2.5.5New.MainClust.png
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/Fig2.5_5New_SeuratClust.pdf ../output/pdfs/Fig2.5_5New_SeuratClust.pdf
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.SeuratClust.png ../output/figs/Fig2.5.5New.SeuratClust.png
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.DEann.png ../output/figs/Fig2.5.5New.DEann.png
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/SuppFig_5NEWLINES_EBandCaoOverlap.png ../output/figs/SuppFig_5NEWLINES_EBandCaoOverlap.png
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/SuppFig_5NEWLINES_CleanOrig_split.pdf ../output/pdfs/SuppFig_5NEWLINES_CleanOrig_split.pdf
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/SuppFig.5NEWLINES.cleanOrig ../output/figs/SuppFig.5NEWLINES.cleanOrig
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5NEWLINES.MostCommonAnnotation.FiveNearestRefCells.csv ../output/5NEWLINES.MostCommonAnnotation.FiveNearestRefCells.csv
/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.TransferredLabelUMAP.png ../output/figs/Fig2.5.5New.TransferredLabelUMAP.png

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File Version Author Date Message
Rmd 094e7ee KLRhodes 2021-12-08 Publish aesthetically updated figs and additional line analyses

library(Seurat)
library(ggplot2)
library(dplyr)

Attaching package: 'dplyr'
The following objects are masked from 'package:stats':

    filter, lag
The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union
merge.all<- readRDS("/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5newlines.merge.all.SCTwRegressOrigIdent.Harmony.rds")
#Get broad cell type category assignments for 5New lines based on cluster marker genes
PilotAnn<-read.csv("/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5NEWLINES.BroadCellTypeCatAssignment.basedonclustersres0.15.csv", header=T)

#prep to add metadata
cellid<- as.data.frame(rownames(merge.all@meta.data))
colnames(cellid)<- "cellid"
PilotAnn<- PilotAnn[2:3]
catbyid<- left_join(cellid, PilotAnn, by = c("cellid" ="V1"))

merge.all<- AddMetaData(merge.all, metadata=catbyid$V2, "PilotAnn")
options(ggrepel.max.overlaps = Inf, ggrepel.force=1000, ggrepel.box.padding=1000, ggrepel.force_pull=0.01, ggrepel.max.iter=100000, ggrepel.max.time=30)
#rename reference metadata
cleanNames<- merge.all@meta.data$orig.ident
cleanNames[cleanNames == "Cao.EtAl"]<- "Fetal Reference"
cleanNames[cleanNames == "EB.5New"]<- "EB Additional Lines"
cleanNames[cleanNames == "scHCL.EB20"]<- "EB Reference"
cleanNames[cleanNames == "scHCL.hESC"]<- "hESC Reference"

merge.all<- AddMetaData(merge.all,cleanNames, col.name = "cleanOrig")
V<- DimPlot(merge.all, group.by = "cleanOrig", label = F, order= c("hESC Reference","EB Reference", "EB Additional Lines","Fetal Reference")) +NoAxes()
  

V

pdf(file = "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/Fig2.5_5New_CleanOrig.pdf")

V

dev.off()
png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.CleanOrig.png", width=7, height=6, units= "in", res=1080)

V

dev.off()
Idents(merge.all)<- "orig.ident"
sub<- subset(merge.all, idents= c("Cao.EtAl", "EB.5New"))
V<- DimPlot(sub, group.by = "Main_cluster_name", label = T, repel = T, label.size = 2.1)+NoLegend()+theme(aspect.ratio = 1)+ NoAxes()
Warning: Using `as.character()` on a quosure is deprecated as of rlang 0.3.0.
Please use `as_label()` or `as_name()` instead.
This warning is displayed once per session.
V

png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.MainClust.png", width=6, height=6, units= "in", res=1080)

V

dev.off()
V<- DimPlot(sub, group.by = "SCT_snn_res.0.1", label = T, repel = F, label.size = 5)+NoLegend()
V

pdf(file = "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/Fig2.5_5New_SeuratClust.pdf")

V

dev.off()
png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.SeuratClust.png", width=6, height=6, units= "in", res=1080)

V

dev.off()
V<- DimPlot(sub, group.by = "PilotAnn", label = T, repel = F, label.size = 4)+NoLegend()+NoAxes()
V

png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.DEann.png", width=6, height=6, units= "in", res=1080)

V

dev.off()
x<- DimPlot(sub, group.by = "cleanOrig", cols = c("#E69F00", "#0072B2"))+NoLegend()
x

z<- DimPlot(sub, group.by = "cleanOrig", order="Cao.EtAl", cols = c("#E69F00", "#0072B2"))
z

xz<- x + z

xz

png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/SuppFig_5NEWLINES_EBandCaoOverlap.png", width=6, height=3, units= "in", res=1080)

xz

dev.off()
V<- DimPlot(merge.all, split.by = "cleanOrig", label = F, order= c("hESC Reference","EB Reference", "EB","Fetal Reference"))+NoLegend()
  

V

pdf(file = "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/pdfs/SuppFig_5NEWLINES_CleanOrig_split.pdf")

V

dev.off()
png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/SuppFig.5NEWLINES.cleanOrig,split.png", width=8, height=3, units= "in", res=1080)

V

dev.off()
nearest.ann<- read.csv("/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/5NEWLINES.MostCommonAnnotation.FiveNearestRefCells.csv")
sub<- subset(merge.all, idents= c("EB.5New"))
EB.cell.id<- rownames(sub@meta.data)
sub@meta.data<- cbind(sub@meta.data, EB.cell.id)
sub@meta.data<- full_join(sub@meta.data, nearest.ann, by= c("EB.cell.id"))
rownames(sub@meta.data)<- EB.cell.id
M<- DimPlot(sub, group.by="Annotation", pt.size = 0.2, label.size = 2.5,label=T, repel=T) +NoLegend()+NoAxes()

M

png(file= "/project2/gilad/katie/Pilot_HumanEBs/Embryoid_Body_Pilot_Workflowr/output/figs/Fig2.5.5New.TransferredLabelUMAP.png", width=6, height=6, units= "in", res=1080)

M

dev.off()
sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Scientific Linux 7.4 (Nitrogen)

Matrix products: default
BLAS/LAPACK: /software/openblas-0.2.19-el7-x86_64/lib/libopenblas_haswellp-r0.2.19.so

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

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

other attached packages:
[1] dplyr_1.0.2     ggplot2_3.3.5   Seurat_3.2.0    workflowr_1.6.2

loaded via a namespace (and not attached):
  [1] nlme_3.1-140          fs_1.4.2              RcppAnnoy_0.0.18     
  [4] RColorBrewer_1.1-2    httr_1.4.2            rprojroot_2.0.2      
  [7] sctransform_0.2.1     tools_3.6.1           utf8_1.2.2           
 [10] R6_2.5.1              irlba_2.3.3           rpart_4.1-15         
 [13] KernSmooth_2.23-15    uwot_0.1.10           mgcv_1.8-28          
 [16] lazyeval_0.2.2        colorspace_2.0-2      withr_2.4.2          
 [19] npsurv_0.4-0          gridExtra_2.3         tidyselect_1.1.0     
 [22] compiler_3.6.1        git2r_0.26.1          plotly_4.9.2.1       
 [25] labeling_0.4.2        scales_1.1.1          spatstat.data_1.4-3  
 [28] lmtest_0.9-37         ggridges_0.5.2        pbapply_1.4-2        
 [31] rappdirs_0.3.3        goftest_1.2-2         spatstat_1.64-1      
 [34] stringr_1.4.0         digest_0.6.28         spatstat.utils_1.17-0
 [37] rmarkdown_2.3         pkgconfig_2.0.3       htmltools_0.5.0      
 [40] fastmap_1.0.1         highr_0.8             htmlwidgets_1.5.1    
 [43] rlang_0.4.11          shiny_1.5.0           farver_2.1.0         
 [46] generics_0.1.0        zoo_1.8-8             jsonlite_1.7.2       
 [49] ica_1.0-2             magrittr_2.0.1        patchwork_1.1.1      
 [52] Matrix_1.2-18         Rcpp_1.0.6            munsell_0.5.0        
 [55] fansi_0.5.0           abind_1.4-5           ape_5.4-1            
 [58] reticulate_1.20       lifecycle_1.0.1       stringi_1.5.3        
 [61] whisker_0.4           yaml_2.2.1            MASS_7.3-51.4        
 [64] Rtsne_0.15            plyr_1.8.6            grid_3.6.1           
 [67] parallel_3.6.1        listenv_0.8.0         promises_1.1.1       
 [70] ggrepel_0.9.0         crayon_1.4.1          deldir_0.1-28        
 [73] miniUI_0.1.1.1        lattice_0.20-38       cowplot_1.1.1        
 [76] splines_3.6.1         tensor_1.5            knitr_1.29           
 [79] pillar_1.6.3          igraph_1.2.6          reshape2_1.4.4       
 [82] future.apply_1.6.0    codetools_0.2-16      leiden_0.3.3         
 [85] glue_1.4.2            evaluate_0.14         lsei_1.2-0           
 [88] data.table_1.13.4     png_0.1-7             vctrs_0.3.8          
 [91] httpuv_1.5.4          polyclip_1.10-0       gtable_0.3.0         
 [94] RANN_2.6.1            purrr_0.3.4           tidyr_1.1.0          
 [97] future_1.18.0         xfun_0.16             rsvd_1.0.3           
[100] mime_0.9              xtable_1.8-4          later_1.1.0.1        
[103] survival_3.2-3        viridisLite_0.4.0     tibble_3.1.5         
[106] cluster_2.1.0         globals_0.12.5        fitdistrplus_1.0-14  
[109] ellipsis_0.3.2        ROCR_1.0-11          

sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Scientific Linux 7.4 (Nitrogen)

Matrix products: default
BLAS/LAPACK: /software/openblas-0.2.19-el7-x86_64/lib/libopenblas_haswellp-r0.2.19.so

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

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

other attached packages:
[1] dplyr_1.0.2     ggplot2_3.3.5   Seurat_3.2.0    workflowr_1.6.2

loaded via a namespace (and not attached):
  [1] nlme_3.1-140          fs_1.4.2              RcppAnnoy_0.0.18     
  [4] RColorBrewer_1.1-2    httr_1.4.2            rprojroot_2.0.2      
  [7] sctransform_0.2.1     tools_3.6.1           utf8_1.2.2           
 [10] R6_2.5.1              irlba_2.3.3           rpart_4.1-15         
 [13] KernSmooth_2.23-15    uwot_0.1.10           mgcv_1.8-28          
 [16] lazyeval_0.2.2        colorspace_2.0-2      withr_2.4.2          
 [19] npsurv_0.4-0          gridExtra_2.3         tidyselect_1.1.0     
 [22] compiler_3.6.1        git2r_0.26.1          plotly_4.9.2.1       
 [25] labeling_0.4.2        scales_1.1.1          spatstat.data_1.4-3  
 [28] lmtest_0.9-37         ggridges_0.5.2        pbapply_1.4-2        
 [31] rappdirs_0.3.3        goftest_1.2-2         spatstat_1.64-1      
 [34] stringr_1.4.0         digest_0.6.28         spatstat.utils_1.17-0
 [37] rmarkdown_2.3         pkgconfig_2.0.3       htmltools_0.5.0      
 [40] fastmap_1.0.1         highr_0.8             htmlwidgets_1.5.1    
 [43] rlang_0.4.11          shiny_1.5.0           farver_2.1.0         
 [46] generics_0.1.0        zoo_1.8-8             jsonlite_1.7.2       
 [49] ica_1.0-2             magrittr_2.0.1        patchwork_1.1.1      
 [52] Matrix_1.2-18         Rcpp_1.0.6            munsell_0.5.0        
 [55] fansi_0.5.0           abind_1.4-5           ape_5.4-1            
 [58] reticulate_1.20       lifecycle_1.0.1       stringi_1.5.3        
 [61] whisker_0.4           yaml_2.2.1            MASS_7.3-51.4        
 [64] Rtsne_0.15            plyr_1.8.6            grid_3.6.1           
 [67] parallel_3.6.1        listenv_0.8.0         promises_1.1.1       
 [70] ggrepel_0.9.0         crayon_1.4.1          deldir_0.1-28        
 [73] miniUI_0.1.1.1        lattice_0.20-38       cowplot_1.1.1        
 [76] splines_3.6.1         tensor_1.5            knitr_1.29           
 [79] pillar_1.6.3          igraph_1.2.6          reshape2_1.4.4       
 [82] future.apply_1.6.0    codetools_0.2-16      leiden_0.3.3         
 [85] glue_1.4.2            evaluate_0.14         lsei_1.2-0           
 [88] data.table_1.13.4     png_0.1-7             vctrs_0.3.8          
 [91] httpuv_1.5.4          polyclip_1.10-0       gtable_0.3.0         
 [94] RANN_2.6.1            purrr_0.3.4           tidyr_1.1.0          
 [97] future_1.18.0         xfun_0.16             rsvd_1.0.3           
[100] mime_0.9              xtable_1.8-4          later_1.1.0.1        
[103] survival_3.2-3        viridisLite_0.4.0     tibble_3.1.5         
[106] cluster_2.1.0         globals_0.12.5        fitdistrplus_1.0-14  
[109] ellipsis_0.3.2        ROCR_1.0-11