Last updated: 2022-06-20

Checks: 7 0

Knit directory: paed-cf-cite-seq/

This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

The command set.seed(20210524) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 883151d. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    analysis/obsolete/
    Ignored:    code/obsolete/
    Ignored:    data/190930_A00152_0150_BHTYCMDSXX/
    Ignored:    data/CellRanger/
    Ignored:    data/GSE127465_RAW/
    Ignored:    data/SCEs/02_ZILIONIS.sct_normalised.SEU.rds
    Ignored:    data/SCEs/03_C133_Neeland.demultiplexed.SCE.rds
    Ignored:    data/SCEs/03_C133_Neeland.emptyDrops.SCE.rds
    Ignored:    data/SCEs/03_C133_Neeland.preprocessed.SCE.rds
    Ignored:    data/SCEs/03_CF_BAL_Pilot.CellRanger_v6.SCE.rds
    Ignored:    data/SCEs/03_CF_BAL_Pilot.emptyDrops.SCE.rds
    Ignored:    data/SCEs/03_CF_BAL_Pilot.preprocessed.SCE.rds
    Ignored:    data/SCEs/03_COMBO.clustered.SEU.rds
    Ignored:    data/SCEs/03_COMBO.clustered_annotated_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/03_COMBO.clustered_annotated_others_diet.SEU.rds
    Ignored:    data/SCEs/03_COMBO.clustered_annotated_tcells_diet.SEU.rds
    Ignored:    data/SCEs/03_COMBO.clustered_diet.SEU.rds
    Ignored:    data/SCEs/03_COMBO.integrated.SEU.rds
    Ignored:    data/SCEs/03_COMBO.zilionis_mapped.SEU.rds
    Ignored:    data/SCEs/04_C133_Neeland.adt_dsb_normalised.rds
    Ignored:    data/SCEs/04_C133_Neeland.adt_integrated.rds
    Ignored:    data/SCEs/04_C133_Neeland.all_integrated.SEU.rds
    Ignored:    data/SCEs/04_CF_BAL_Pilot.CellRanger_v6.SCE.rds
    Ignored:    data/SCEs/04_CF_BAL_Pilot.emptyDrops.SCE.rds
    Ignored:    data/SCEs/04_CF_BAL_Pilot.preprocessed.SCE.rds
    Ignored:    data/SCEs/04_CF_BAL_Pilot.transfer_adt.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clean_clustered.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clean_clustered.SEU_bk.rds
    Ignored:    data/SCEs/04_COMBO.clean_integrated.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clean_integrated.SEU_bk.rds
    Ignored:    data/SCEs/04_COMBO.clean_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clean_others_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clean_tcells_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_annotated_adt_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_annotated_lung_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_annotated_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_annotated_others_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_annotated_tcells_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.clustered_diet.SEU.rds
    Ignored:    data/SCEs/04_COMBO.integrated.SEU.rds
    Ignored:    data/SCEs/04_COMBO.macrophages_clustered.SEU.rds
    Ignored:    data/SCEs/04_COMBO.macrophages_integrated.SEU.rds
    Ignored:    data/SCEs/04_COMBO.others_clustered.SEU.rds
    Ignored:    data/SCEs/04_COMBO.others_integrated.SEU.rds
    Ignored:    data/SCEs/04_COMBO.tcells_clustered.SEU.rds
    Ignored:    data/SCEs/04_COMBO.tcells_integrated.SEU.rds
    Ignored:    data/SCEs/04_COMBO.zilionis_mapped.SEU.rds
    Ignored:    data/SCEs/05_CF_BAL_Pilot.transfer_adt.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clean_clustered.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clean_integrated.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clean_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clean_others_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clean_tcells_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clustered_annotated_adt_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clustered_annotated_lung_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clustered_annotated_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clustered_annotated_others_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.clustered_annotated_tcells_diet.SEU.rds
    Ignored:    data/SCEs/05_COMBO.macrophages_clustered.SEU.rds
    Ignored:    data/SCEs/05_COMBO.macrophages_integrated.SEU.rds
    Ignored:    data/SCEs/05_COMBO.others_clustered.SEU.rds
    Ignored:    data/SCEs/05_COMBO.others_integrated.SEU.rds
    Ignored:    data/SCEs/05_COMBO.tcells_clustered.SEU.rds
    Ignored:    data/SCEs/05_COMBO.tcells_integrated.SEU.rds
    Ignored:    data/SCEs/06_COMBO.clean_clustered.SEU.rds
    Ignored:    data/SCEs/06_COMBO.clean_integrated.SEU.rds
    Ignored:    data/SCEs/06_COMBO.clean_macrophages_diet.SEU.rds
    Ignored:    data/SCEs/06_COMBO.clean_others_diet.SEU.rds
    Ignored:    data/SCEs/06_COMBO.clean_tcells_diet.SEU.rds
    Ignored:    data/SCEs/06_COMBO.macrophages_clustered.SEU.rds
    Ignored:    data/SCEs/06_COMBO.macrophages_integrated.SEU.rds
    Ignored:    data/SCEs/06_COMBO.others_clustered.SEU.rds
    Ignored:    data/SCEs/06_COMBO.others_integrated.SEU.rds
    Ignored:    data/SCEs/06_COMBO.tcells_clustered.SEU.rds
    Ignored:    data/SCEs/06_COMBO.tcells_integrated.SEU.rds
    Ignored:    data/SCEs/C133_Neeland.CellRanger.SCE.rds
    Ignored:    data/SCEs/obsolete/
    Ignored:    data/cellsnp-lite/
    Ignored:    data/emptyDrops/obsolete/
    Ignored:    data/obsolete/
    Ignored:    data/sample_sheets/obsolete/
    Ignored:    output/marker-analysis/obsolete/
    Ignored:    output/obsolete/
    Ignored:    rename_captures.R
    Ignored:    renv/library/
    Ignored:    renv/staging/
    Ignored:    wflow_background.R

Unstaged changes:
    Modified:   .gitignore
    Modified:   .renvignore
    Modified:   renv/.gitignore
    Modified:   renv/settings.dcf

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/about.Rmd) and HTML (docs/about.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 883151d Jovana Maksimovic 2022-06-20 wflow_publish(c("analysis/license.Rmd", "analysis/about.Rmd"))
Rmd f3b7b92 Jovana Maksimovic 2022-06-16 Submission version

This site presents the code and results of the analyses described in the pre-print: “Multimodal single cell analysis of the paediatric lower airway reveals novel immune cell phenotypes in early life health and disease”.

We employed multiomic single-cell sequencing to generate the first immune cell atlas of the paediatric lower airway with more than 44,900 cells across 12 preschool aged children. By integrating transcriptome-wide gene expression, assessment of 154 surface proteins, and functional pathway analysis, we extensively characterised immune and epithelial cell populations present in the bronchoalveolar lavage of 11 children with cystic fibrosis and an age-matched healthy control.

All the code and results of this analysis are available from GitHub at https://github.com/Oshlack/paed-cf-cite-seq. The raw single cell RNA-seq and CITE-seq count data generated for this study can be downloaded as RDS files from DOI.


sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /config/binaries/R/4.1.0/lib64/R/lib/libRblas.so
LAPACK: /config/binaries/R/4.1.0/lib64/R/lib/libRlapack.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] stats     graphics  grDevices datasets  utils     methods   base     

other attached packages:
[1] workflowr_1.7.0

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.7          bslib_0.3.1         jquerylib_0.1.4    
 [4] compiler_4.1.0      pillar_1.6.4        later_1.3.0        
 [7] BiocManager_1.30.16 git2r_0.29.0        tools_4.1.0        
[10] getPass_0.2-2       digest_0.6.29       jsonlite_1.7.2     
[13] evaluate_0.14       tibble_3.1.6        lifecycle_1.0.1    
[16] pkgconfig_2.0.3     rlang_0.4.12        rstudioapi_0.13    
[19] yaml_2.2.1          xfun_0.29           fastmap_1.1.0      
[22] httr_1.4.2          stringr_1.4.0       knitr_1.37         
[25] sass_0.4.0          fs_1.5.2            vctrs_0.3.8        
[28] rprojroot_2.0.2     glue_1.6.0          R6_2.5.1           
[31] processx_3.5.2      fansi_1.0.0         bookdown_0.24      
[34] rmarkdown_2.11      callr_3.7.0         magrittr_2.0.1     
[37] whisker_0.4         ps_1.6.0            promises_1.2.0.1   
[40] htmltools_0.5.2     ellipsis_0.3.2      renv_0.15.0-14     
[43] httpuv_1.6.5        utf8_1.2.2          stringi_1.7.6      
[46] crayon_1.4.2