Phenotypic profiling data for elucidating genomic gaps

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.

数据集 1：原始 OD600 生长曲线（raw_od_curves.csv）。来自 96 孔板式光度计的光密度测量数据。编号的表头表示时间（小时），而列内容则表示 OD600 测量值。
数据集 2：逻辑曲线参数（curve_logistic_parameters.csv）。包含 96 孔板的滞后时间、最大生长速率和承载能力参数。还包括均方误差和生长水平。
数据集 3：C.sedlakii KBase 表型（c.sedlakii_phenotypes.csv）。为 KBase 表型模拟所必需的表型 csv 文件。该文件指定了培养基数据对象名称、KBase 工作空间和生长情况。基因敲除和附加化合物列未被使用，并设置为无。