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Open Source Research Software
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Built in Python using packages from the Scientific Python and data science ecosystem
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Packaged into submodules with a Jupyter Notebook interface
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Documented, version-controlled; built to be understood and re-used
Example project:
cell PLasticity Analysis TOol (cellPLATO)
A data-processing, analysis, and visualization pipeline for single-cell time-lapse data.
Features:
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Pooling and comparing replicate experiments from multiple conditions.
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Shape measurements via SciKit-Image
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Accepts cell-tracking result input from Bayesian Tracker or Usiigaci.
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Dimensionality Reduction
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Systematic plot output for user-specified factors
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User-friendly Jupyter Notebook interface to interact with modular Python package
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Version controlled Open Source Research Software, see the project hosted on Github.
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