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This package extracts experimental data and metadata, converts to stardard formats, uploads to SynBioHub and Flapjack, and connects them

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Gonza10V/Tricahue

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Tricahue

Welcome to the Tricahue repository, our Python package for experimental data and metadata standardization, upload to databases and connection for creating distributed datasets.

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As you may have noticed, our logo features a beautiful "loro tricahue" or burrowing parrot(Cyanoliseus patagonus bloxami); 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 networks of tunnels and chambers. Tricahue simplifies the standardization, upload, and connection of data on distributed databases. Tricahue uses Excel templates to capture experimental design metadata and extracts data from raw plate reader experimental results then upload both SynBioHub's metadata repository and the experimantal results to Flapjack's platereader database.

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

About

This package extracts experimental data and metadata, converts to stardard formats, uploads to SynBioHub and Flapjack, and connects them

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