Tracebase
Mouse Metabolite Tracing Data Repository for the Rabinowitz Lab
Install / Use
/learn @Princeton-LSI-ResearchComputing/TracebaseREADME
TraceBase
TraceBase is a data repository and analysis tool for mass-spectrometry data from isotope tracing studies used to quantify metabolism in vivo. Lab members submit peak data exported from El-Maven and processed for natural abundance correction by AccuCor, IsoCor, or Iso-AutoCor along with details about their experiment. TraceBase computes useful metrics such as enrichment, normalized labeling, and estimated FCirc (rate of appearance/disappearance), making it simple to browse, collate, compare, and download the data.
Directory Structure
DataRepo- Django App Folder for the TraceBase Database Interface: This is the main application package.TraceBase- Django Project Folder: Contains core configuration files.docs- Documentation by user type.requirements- Python dependencies by deployment type.static- Media and JavaScript files..github- GitHub settings.
Installation
See INSTALL.md.
Testing
In brief, the main test package can be run using:
python manage.py test
For detailed and comprehensive testing instructions and verification, see:
- The Verification section of
INSTALL.md. - The Testing section of
CONTRIBUTING.md.
Usage
- Using the site.
- See our online user guide.
- Mirrored in
/docs/user/.
- Loading Study data.
- See
docs/curator/Loading.md.
- See
Contributing
See CONTRIBUTING.md. Helpful tips can be found in docs/contributor/Development_Notes.md.
License
See LICENSE.md.
Support
Technology
- Python
- See
requirements/*for dependencies.
- See
- Django
- Postgres
- JavaScript
Authors & Acknowledgments
See The TraceBase Team.
Citing
Citation coming soon.
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