Last updated: 2018-12-14
workflowr checks: (Click a bullet for more information) ✔ R Markdown file: up-to-date
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.
✔ Repository version: 37238e5
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: data/fastqs/
Ignored: data/hgmm_1k_fastqs.tar
Ignored: data/hs_cdna.fa.gz
Ignored: data/mm_cdna.fa.gz
Ignored: data/whitelist_v2.txt
Ignored: output/hs_mm_tr_index.idx
Ignored: output/out_hgmm1k/
Untracked files:
Untracked: analysis/10xv2_cache/
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.
This repository has example notebooks that demonstrate how to go from fastq files to sparse matrices for scRNA-seq data from start to end. To run the notebooks, please install kallisto, bustools, and the BUStoolsR R package.
If you have problems with the notebooks, or have questions about them, please go to the GitHub repo of this website.
This reproducible R Markdown analysis was created with workflowr 1.1.1