Last updated: 2023-06-12
Checks: 2 0
Knit directory: mi_spatialomics/
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! 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 576e518. 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: .Rproj.user/
Untracked files:
Untracked: LICENSE
Untracked: renv.lock
Untracked: renv/
Unstaged changes:
Modified: .Rprofile
Modified: README.md
Modified: analysis/_site.yml
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These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/index.Rmd
) and HTML
(docs/index.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 | 576e518 | FloWuenne | 2023-06-12 | wflow_publish("analysis/index.Rmd") |
html | 8ef6779 | FloWuenne | 2023-06-12 | Build site. |
Rmd | 0c01112 | FloWuenne | 2023-06-12 | wflow_publish(c("analysis/about.Rmd", "analysis/index.Rmd", "analysis/license.Rmd")) |
Rmd | 9e88e37 | FloWuenne | 2023-06-12 | Start workflowr project. |
All scripts in this repository assume that this repository is in the
same folder as the /data
directory, containing all the data
on Synapse. Data directory structure can be set up using the Synapse
command-line interace with the following command
`synapse get -r syn51449054 `
For more options to download the data within Synapse, you can select Download Options in the Synapse project and check out Programmatic options. This will allow to also download the data directly using R and Python.
You can then clone this repository alongside the data repository from Synapse:
git clone https://github.com/SchapiroLabor/MI_infiltration_imaging.git
Imaging data in this study was processed using nextflow based
pipelines designed for the specific data type. Links to the original
pipeline repositories is provided below. Config files and specifications
for running each pipeline to process the data is provided in this
repository under : ./
For more details on data processing, go to Data processing.
All raw images and processed data is available from Synapse: Highly-multiplexed imaging of immune cell infiltration routes in myocardial infarction.
Please cite our preprint if using any of the data used in study: