Phenotypic profiling data for elucidating genomic gaps
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Dataset 1. Raw OD600 growth curves (raw_od_curves.csv).
MAPs optical density measurements from the plate reader for 96 wells. Numbered headers indicate the time (hrs) and the column contents indicate the OD600 measurement.
Dataset 2. Parameters for logistic curves (curve_logistic_parameters.csv).
Lag, maximum growth rate, and carrying capacity parameters for the 96 wells. Sum-squared error and growth level are included.
Dataset 3. C.sedlakii KBase phenotypes (c.sedlakii_phenotypes.csv).
Phenotype csv file required for KBase phenotype simulations. This file specifies media data object name, the KBase workspace, and growth. The gene knockout and additional compound columns were not used and set to none.