zmk-tooth-cohort-method-manuscript

Manubot repository for Tooth-Cohort analysis method. The 'original' version was written with manuscripts.io

https://github.com/habi/zmk-tooth-cohort-method-manuscript

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 9 DOI reference(s) in README
  • Academic publication links
    Links to: biorxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.6%) to scientific vocabulary

Keywords

manubot
Last synced: 10 months ago · JSON representation ·

Repository

Manubot repository for Tooth-Cohort analysis method. The 'original' version was written with manuscripts.io

Basic Info
  • Host: GitHub
  • Owner: habi
  • License: other
  • Language: HTML
  • Default Branch: master
  • Homepage:
  • Size: 30.4 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
manubot
Created almost 6 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT

HTML Manuscript PDF Manuscript GitHub Actions Status <!-- usage note: delete CI badges above for services not used by your manuscript -->

Manuscript description

This repository contains the manuscript about the analysis of a large cohort of human teeth. We wrote the manuscript collaboratively on Manuscripts.io but I want to to keep it safe with an GitHub repository that runs manubot (see below for details). We exported the text from Manuscripts.io as HTML, used pandoc to generate a markdown file and manually split the content from file into the relevant files found in the content folder in this repository. Then we manually copied over the correct references to the text and in the end deposited a manubot-generated PDF as preprint on bioRxiv (doi:10.1101/2020.10.27.356998) and then submitted it to BMC Oral Health where it was accepted after a pleasant round of reviews and is now online (doi:10.1186/s12903-021-01551-x).

The code which accompanies the manuscript can be found here: http://github.com/habi/zmk-tooth-cohort (doi:10.5281/zenodo.3999401).

Manubot

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.

Repository directories & files

The directories are as follows:

  • content contains the manuscript source, which includes markdown files as well as inputs for citations and references. See USAGE.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.

Local execution

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.

```sh

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:

sh bash build/autobuild.sh

Continuous Integration

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 master 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://habi.github.io/zmk-tooth-cohort-method-manuscript/
  • PDF manuscript at https://habi.github.io/zmk-tooth-cohort-method-manuscript/manuscript.pdf

For continuous integration configuration details, see .github/workflows/manubot.yaml if using GitHub Actions or .travis.yml if using Travis CI.

License

License: CC BY 4.0 License: CC0 1.0

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/habi/zmk-tooth-cohort-method-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.

Owner

  • Name: David Haberthür
  • Login: habi
  • Kind: user
  • Location: Bern, Switzerland
  • Company: Institute of Anatomy, Unversity of Bern, Switzerland

Working dad, born at 333 ppm. Generic geek and ex-messenger with a PhD in ultrahigh resolution tomography. I love the outdoors, my bikes, swimming & much more.

Citation (CITATION.bib)

@article{Haberthuer2021,
	abstract = {High-resolution micro-computed tomography is a powerful tool to analyze and visualize the internal morphology of human permanent teeth. It is increasingly used for investigation of epidemiological questions to provide the dentist with the necessary information required for successful endodontic treatment. The aim of the present paper was to propose an image processing method to automate parts of the work needed to fully describe the internal morphology of human permanent teeth. One hundred and four human teeth were scanned on a high-resolution micro-CT scanner using an automatic specimen changer. Python code in a Jupyter notebook was used to verify and process the scans, prepare the datasets for description of the internal morphology and to measure the apical region of the tooth. The presented method offers an easy, non-destructive, rapid and efficient approach to scan, check and preview tomographic datasets of a large number of teeth. It is a helpful tool for the detailed description and characterization of the internal morphology of human permanent teeth using automated segmentation by means of micro-CT with full reproducibility and high standardization.},
	author = {Haberth{\"u}r, David and Hlushchuk, Ruslan and Wolf, Thomas Gerhard},
	doi = {10.1186/s12903-021-01551-x},
	isbn = {1472-6831},
	journal = {BMC Oral Health},
	number = {1},
	pages = {185},
	title = {Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT},
	ty = {JOUR},
	url = {https://doi.org/10.1186/s12903-021-01551-x},
	volume = {21},
	year = {2021}}

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Dependencies

build/environment.yml pypi
  • errorhandler ==2.0.1
  • isbnlib ==3.10.3
  • opentimestamps ==0.4.1
  • opentimestamps-client ==0.7.0
  • pandoc-eqnos ==2.3.0
  • pandoc-fignos ==2.3.1
  • pandoc-tablenos ==2.2.2
  • pandoc-xnos ==2.4.3
  • pybase62 ==0.4.3
  • pysha3 ==1.0.2
  • python-bitcoinlib ==0.10.2
  • requests-cache ==0.5.2
  • weasyprint ==0.42.3