^^^ click the links above to see the current manuscript in HTML or PDF format!! ^^^
Purpose. We are collaboratively writing a broad, basic tutorial on proteomics invited by the ACS journal Measurement Science Au. An example of the scope and style is this tutorial from Jillian Dempsy's group on cyclic voltammetry. We are using Manubot to write this manuscript and track contributions. See the remaining readme below this section or at the link above for more information about manubot. We are aiming to submit April 1st 2022.
Authorship. I (Jesse Meyer) will lead the project as senior author and we will decide author order for everyone based on the contributions recorded via github.
Rules. See also the code of conduct for participants.
How to contribute: edit sections in the /content directory and create a pull request describing your changes. You can practice contributing here. See the contributing section for guidance on how to contribute and what is expected of authors.
Use Issues to discuss organization, potential figures, and discussion of papers.
Focus Areas of this tutorial include an entire overview of topics that are relevant to mass spectrometry based proteomics. The current list of sections includes:
- Introduction
- protein extraction
- proteolysis
- Peptide and protein labeling
- enrichment of proteins or modifications
- peptide purification
- types of mass spectrometers used for proteomics
- Peptide ionization
- Data Acquisition (targeted and untargeted DDA and DIA)
- Basics of data analysis
- Biological Interpretation
- Experiment design and considerations not discussed elsewhere
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:
content
contains the manuscript source, which includes markdown files as well as inputs for citations and references. SeeUSAGE.md
for more information.output
contains the outputs (generated files) from Manubot including the resulting manuscripts. You should not edit these files manually, because they will get overwritten.webpage
is a directory meant to be rendered as a static webpage for viewing the HTML manuscript.build
contains commands and tools for building the manuscript.ci
contains 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.server
Sometimes 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.sh
Whenever 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://jessegmeyerlab.github.io/proteomics-tutorial/
- PDF manuscript at https://jessegmeyerlab.github.io/proteomics-tutorial/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/jessegmeyerlab/proteomics-tutorial.
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.