Last updated: 2020-03-01
Checks: 2 0
Knit directory: rss-net/
This reproducible R Markdown analysis was created with workflowr (version 1.6.0). 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! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.
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/
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 R Markdown and HTML files. If you’ve configured a remote Git repository (see ?wflow_git_remote
), click on the hyperlinks in the table below to view them.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | bda7382 | xiangzhu | 2020-03-01 | wflow_publish(“rmd/ibd2015_nkcell.Rmd”) |
html | 830b581 | xiangzhu | 2020-03-01 | Build site. |
Rmd | a5b592e | xiangzhu | 2020-03-01 | wflow_publish(“rmd/ibd2015_nkcell.Rmd”) |
html | c3ca100 | xiangzhu | 2020-02-29 | Build site. |
Rmd | 2e5247b | xiangzhu | 2020-02-29 | wflow_publish(“rmd/ibd2015_nkcell.Rmd”) |
Here we describe an end-to-end RSS-NET analysis of inflammatory bowel disease (IBD) GWAS summary statistics (Liu et al, 2015) and a gene regulatory network inferred for natural killer (NK) cells. This example illustrates the actual data analyses performed in Zhu et al (2019).
To reproduce results of this example, please use scripts in the directory script_dir
, and follow the step-by-step guide below. Before running any script in script_dir
, please install RSS-NET.
Since a real genome-wide analysis is conducted here, this example is more complicated than the previous simulation example. It is advisable to go through the previous simulation example before diving into this real data example.
Note that the working directory here is assumed to be wdtba
. Please modify scripts accordingly if a different directory is used.