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Tweaks to paper given @jgostic's comments.
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--- | ||
title: 'hplc-py: A Python Utility for the Rapid Quantification of Complex Chemical Chromatograms' | ||
title: 'hplc-py: A Python Utility For Rapid Quantification of Complex Chemical Chromatograms' | ||
tags: | ||
- Python | ||
- Analytical Chemistry | ||
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@@ -18,7 +18,7 @@ affiliations: | |
index: 1 | ||
- name: For correspondence, contact `[email protected]` | ||
index: "*" | ||
date: "23 January 2024" | ||
date: "09 February 2024" | ||
bibliography: paper.bib | ||
--- | ||
# Summary | ||
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@@ -69,7 +69,7 @@ of individual signals which sum to reconstruct the observed | |
chromatogram. Code used to generate panels (B) and (C) is available on the [GitHub repository publication branch](https://github.com/cremerlab/hplc-py/blob/publication/Fig1_summary.py)](figures/Figure1.pdf){label="fig:intro"} | ||
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# Methodology | ||
The major components of `hplc-py` are diagrammed in Figure 2 (A). A helper function, | ||
The major components of `hplc-py` are diagrammed in Figure 2(A). A helper function, | ||
`load_chromatogram`, can be used to read a raw text file, filter through the metadata in the | ||
header, and retrieve the time and signal data, given user-supplied column names [Figure 2(B)]. | ||
The resulting pandas DataFrame object can be passed to the `Chromatogram` object, | ||
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