Welcome to PyParse’s documentation!#

Authors: Joseph Mason, Francesco Rianjongdee, Harry Wilders, David Fallon

Description#

This script will read Liquid Chromatography Mass Spectrometry (LCMS) data in the Waters OpenLynx™ browser report (.rpt) file format or Shimadzu .daml file format, and assigns peaks to compounds specified in a .csv platemap. This assignment is then used to generate heatmaps and other visualisations to compare and contrast different LCMS runs. It was designed specifically for the analysis of data generated from high-throughput chemistry, and is suitable for reaction optimisations, parallel synthesis, library validation experiments and direct-to-biology.

Example Usage#

Standard Analysis for a 96-Well Plate for Water’s data#
python PyParse.py example_rpt.rpt example_platemap.csv -o new_output_directory
Standard Analysis for a 96-Well Plate for Shimadzu data#
python PyParse.py folder_containing_daml_files example_platemap.csv -o new_output_directory

License#

Apache 2.0

Indices and tables#

Contents#