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Merge pull request #11 from SynBioDex/revamp_testing
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Revamp testing
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dylan33smith authored Mar 7, 2024
2 parents 5e334b6 + d0c023a commit 97b756b
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2 changes: 1 addition & 1 deletion README.md
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# Experimental Data Converter

The Experimental Data Converter (EDC) is a software tool for experimental data standardization using Excel, Flapjack and SynBioHub. The EDC provides researchers with an Excel standard to capture both experimental results and contextual metadata, which are then converted to a uniform data representation for the SBOL standard and Flapjack’s data model. Through SBOL, users of EDC can store experimental results with all initial sequence, part and metadata information, as well as retrieve and share with others, improving reproducibility and collaboration.
The Experimental Data Converter (XDC) is a software tool for experimental data standardization using Excel, Flapjack and SynBioHub. The XDC provides researchers with an Excel standard to capture both experimental results and contextual metadata, which are then converted to a uniform data representation for the SBOL standard and Flapjack’s data model. Through SBOL, users of XDC can store experimental results with all initial sequence, part and metadata information, as well as retrieve and share with others, improving reproducibility and collaboration.

## Installation

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8 changes: 8 additions & 0 deletions setup.py
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from setuptools import setup, find_packages

setup (
name='excel2flapjack',
version='1.0.2',
packages=find_packages(where='src'),
package_dir={'':'src'},
)
5 changes: 2 additions & 3 deletions excel2flapjack/setup.py → setup_original.py
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version='0.0.1-alpha-1',
url='https://github.com/SynBioDex/Experimental-Data-Converter/',
license='BSD 3-clause',
maintainer='Sai Samineni',
maintainer_email='[email protected]',
include_package_data=True,
description='upload excel resources to flapjack',
packages=find_packages(include=['excel2flapjack']),
packages=find_packages(where="src"),
package_dir={"":"src"},
long_description=open('README.md').read(),
install_requires=['pyflapjack>=1.0.5',
'numpy>=1.21.2',
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