rda-toolbox 0.1.4

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Robotic-assisted Discovery of Antiinfectives

This package aims to provide a toolbox for data analysis in the field of drug discovery.

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The aim is to provide functions to help evaluate the following assays:

• Primary Screen
• MIC (Minimum Inhibitory Concentration) Assay
• Cellviability

Usage

pip install rda-toolbox

or

pip install "git+https://github.com/Robotic-Discovery-of-Antiinfectives/rda-toolbox.git"

#!/usr/bin/env python3

import rda_toolbox as rda
import glob

rda.readerfiles_rawdf(glob.glob("path/to/raw/readerfiles/*"))

File Parsing

• Read output files and return readouts in a tidy, long DataFrame

Supported readers:

• Cytation C10

Plotting

This package uses Vega-Altair for creating interactive (or static) visualizations.

• Plate Heatmaps
• Upset plots
  • UpSetAltair plotting function is taken from https://github.com/hms-dbmi/upset-altair-notebook and modified
  • This part of this package is licensed under MIT license.

New Release

1. Update pyproject.toml release version
2. Update docs/source/conf.py release version
3. On GitHub go to releases and Draft a new release