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Software and Data associated with "Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR''

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Overview

The purpose of this code and data is to enable reproduction and facilitate extension of the computational results associated with Ref. [1].

Installation, Testing, and Reproduction of Manuscript

Python can be obtained at Python.org. The dependencies required can be installed via

pip install -r requirements.txt

To test the installation, navigate to the parent directory and invoke

python3 -m pytest --doctest-modules

For step-by-step instructions on reproducing the manuscript, run

python plot_figures.py

(also see here).

Experimental Data

The raw data can be found in the directory data/.

Documentation

The documentation can be compiled using sphinx in doc/. A pdf version of the documentation is available here.

Citing This Work

To cite the manuscript, use Ref. [1]. To cite the software or experimental data, use Ref. [2].

References

  1. DeJaco, R. F.; Roberts, M. J.; Romsos, E. L.; Vallone, P. M.; Kearsley, A. J. Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR, Bulletin of Mathematical Biology, 2023, doi: 10.1007/s11538-023-01182-z.

  2. DeJaco, R. F. Software and Data associated with ``Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR,'' National Institute of Standards and Technology, 2023, doi: 10.18434/mds2-2910.

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Software and Data associated with "Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR''

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