PhenoPLIER: Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms
PhenoPLIER is new computational strategy that integrates statistical associations from GWAS/TWAS with groups of genes (gene modules) that have similar expression patterns across the same cell types. This allows us to go beyond gene-trait statistical associations and infer the cell types where gene expression regulation is likely to be disrupted, resulting in cell type-specific pathology. Check out our manuscript in bioRxiv or our Manubot web version for more details. The Github repository with the source code for the analyses can be found here.
Manubot is a system for writing scholarly manuscripts via GitHub.
Manubot automates citations and references, versions manuscripts using git, and enables collaborative writing via GitHub.
An overview manuscript presents the benefits of collaborative writing with Manubot and its unique features.
The rootstock repository is a general purpose template for creating new Manubot instances, as detailed in SETUP.md.
See USAGE.md for documentation how to write a manuscript.
Please open an issue for questions related to Manubot usage, bug reports, or general inquiries.
The directories are as follows:
contentcontains the manuscript source, which includes markdown files as well as inputs for citations and references. SeeUSAGE.mdfor more information.outputcontains the outputs (generated files) from Manubot including the resulting manuscripts. You should not edit these files manually, because they will get overwritten.webpageis a directory meant to be rendered as a static webpage for viewing the HTML manuscript.buildcontains commands and tools for building the manuscript.cicontains files necessary for deployment via continuous integration.
The easiest way to run Manubot is to use continuous integration to rebuild the manuscript when the content changes.
If you want to build a Manubot manuscript locally, install the conda environment as described in build.
Then, you can build the manuscript on POSIX systems by running the following commands from this root directory.
# Activate the manubot conda environment (assumes conda version >= 4.4)
conda activate manubot
# Build the manuscript, saving outputs to the output directory
bash build/build.sh
# At this point, the HTML & PDF outputs will have been created. The remaining
# commands are for serving the webpage to view the HTML manuscript locally.
# This is required to view local images in the HTML output.
# Configure the webpage directory
manubot webpage
# You can now open the manuscript webpage/index.html in a web browser.
# Alternatively, open a local webserver at http://localhost:8000/ with the
# following commands.
cd webpage
python -m http.serverSometimes it's helpful to monitor the content directory and automatically rebuild the manuscript when a change is detected.
The following command, while running, will trigger both the build.sh script and manubot webpage command upon content changes:
bash build/autobuild.shWhenever a pull request is opened, CI (continuous integration) will test whether the changes break the build process to generate a formatted manuscript. The build process aims to detect common errors, such as invalid citations. If your pull request build fails, see the CI logs for the cause of failure and revise your pull request accordingly.
When a commit to the main branch occurs (for example, when a pull request is merged), CI builds the manuscript and writes the results to the gh-pages and output branches.
The gh-pages branch uses GitHub Pages to host the following URLs:
- HTML manuscript at https://greenelab.github.io/phenoplier_manuscript/
- PDF manuscript at https://greenelab.github.io/phenoplier_manuscript/manuscript.pdf
For continuous integration configuration details, see .github/workflows/manubot.yaml.
Except when noted otherwise, the entirety of this repository is licensed under a CC BY 4.0 License (LICENSE.md), which allows reuse with attribution.
Please attribute by linking to https://github.com/greenelab/phenoplier_manuscript.
Since CC BY is not ideal for code and data, certain repository components are also released under the CC0 1.0 public domain dedication (LICENSE-CC0.md).
All files matched by the following glob patterns are dual licensed under CC BY 4.0 and CC0 1.0:
*.sh*.py*.yml/*.yaml*.json*.bib*.tsv.gitignore
All other files are only available under CC BY 4.0, including:
*.md*.html*.pdf*.docx
Please open an issue for any question related to licensing.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent