| Name | tricahue JSON |
| Version |
0.0b6
JSON |
| download |
| home_page | None |
| Summary | This package extracts experimental data and metadata, converts to stardard formats, uploads to SynBioHub and Flapjack, and connects them |
| upload_time | 2025-08-12 21:35:03 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | None |
| keywords |
sbol
test
data
experimental
synthetic biology
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Tricahue
Welcome to the Tricahue repository, our Python package for experimental data and metadata standardization, upload to databases and connection for creating distributed datasets.
<img src="https://github.com/Gonza10V/Tricahue/blob/main/images/tricahue_logo.jpeg#gh-light-mode-only" alt="LOICA logo" width="350"/>
<img src="https://github.com/Gonza10V/Tricahue/blob/main/images/tricahue_logo.jpeg#gh-dark-mode-only" alt="LOICA night logo" width="350"/>
As you may have noticed, our logo features a beautiful "loro tricahue" or burrowing parrot[(_Cyanoliseus patagonus bloxami_)](https://en.wikipedia.org/wiki/Burrowing_parrot); a bird native to Chile and Argentina known for its distinctive colors green on head and body, red and yellow on the chest, and a blue tail. These parrots excavate burrows on cliff faces or ravines that are connected forming a complex system of tunnels and chambers[.](https://youtu.be/v2AC41dglnM)
## Installation
Installing Tricahue is super simple!
Do:
`pip install tricahue`
## Tricahue allows you to:
- Extract experimental data from Excel, CSV and TSV files
- Standardize experimental data into Tidy format
- Stadardize experimental metadata into SBOL
- Upload experimental data to Flapjack
- Upload experimental metadata to SynBioHub
- Connect data from SynBioHub and Flapjack to create complete data sets
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