Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: bveldma2
- License: mit
- Language: HTML
- Default Branch: main
- Size: 40.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
udims
Project description
This script is used in untargeted metabolomics analysis in urine using Direct-Infusion Massa Spec (DIMS). DIMS output consists of two outlists, one for negative scanning mode, and one for positive scanning mode. The outlists have been annotated with the use of HDMB database (ppm < 5). Utargeted metabolomics returns large datasets, this code is used to look at a subselection (ORGZsel), with names derived from the remote Uniquemarkersurine dataframe. In the outlists, no sum has yet been made for all adducts for one compound. Adduct types are indicated in the outlist in the column 'assiHMDB'.
configuration
This project uses Rstudio to run scripts.
specify path & runname; change ORGZ_sel if preferred
input: data/raw/runname/outlistsidentifiednegative.Rdata data/raw/runname/outlistsidentifiedpositive.Rdata data/raw/Uniquemarkersurine.RDS
output: data/processed/runname/ORGZplotsRUN5pos.pdf #pdf file with plots for your selection data/processed/runname/ORGZselection_RUN.xlsx #excel workbook for your selection
dependencies
Required packages: ggplot2 openxlsx
workflow
Open the main script: R/Searchadductsfor_selection.R
specify path & runname; change ORGZ_sel if preferred
Load AddOnFunctions: [TempPackage] R/AddOnFunctions/load_outlists.R
Load unique-markers: R/AddOnFunctions/unique-markers.RDS
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OLD TEMPLATE
udims
This project template is a demonstration for the RepCo workshop.
Usage
Click "Use this template" at the top of this page to create a new repository with the same folder structure.
Project Structure
The project structure distinguishes three kinds of folders: - read-only (RO): not edited by either code or researcher - human-writeable (HW): edited by the researcher only. - project-generated (PG): folders generated when running the code; these folders can be deleted or emptied and will be completely reconstituted as the project is run.
``` . ├── .gitignore ├── CITATION.cff ├── LICENSE ├── README.md ├── requirements.txt ├── data <- All project data, ignored by git │ ├── processed <- The final, canonical data sets for modeling. (PG) │ ├── raw <- The original, immutable data dump. (RO) │ └── temp <- Intermediate data that has been transformed. (PG) ├── docs <- Documentation notebook for users (HW) │ ├── manuscript <- Manuscript source, e.g., LaTeX, Markdown, etc. (HW) │ └── reports <- Other project reports and notebooks (e.g. Jupyter, .Rmd) (HW) ├── results │ ├── figures <- Figures for the manuscript or reports (PG) │ └── output <- Other output for the manuscript or reports (PG) └── R <- Source code for this project (HW)
```
Add a citation file
Create a citation file for your repository using cffinit
License
This project is licensed under the terms of the MIT License.
Owner
- Name: Birgit Veldman
- Login: bveldma2
- Kind: user
- Repositories: 1
- Profile: https://github.com/bveldma2
GitHub Events
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Last Year
Dependencies
- utils * imports
- BiocManager * suggests
- R6 * suggests
- cli * suggests
- covr * suggests
- cpp11 * suggests
- devtools * suggests
- gitcreds * suggests
- jsonlite * suggests
- knitr * suggests
- miniUI * suggests
- packrat * suggests
- pak * suggests
- remotes * suggests
- reticulate * suggests
- rmarkdown * suggests
- rstudioapi * suggests
- shiny * suggests
- testthat * suggests
- uuid * suggests
- waldo * suggests
- webfakes * suggests
- yaml * suggests