Work

Phenotypic profiling data for elucidating genomic gaps

Year: 2014

Type: dataset

Abstract: 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.

Source: Figshare

DOI: 10.6084/m9.figshare.1150169

Authors: Cuevas, Daniel A., Garza, Daniel, Sanchez, Savannah E., Rostron, Jason, Henry, Chris S., Vonstein, Veronika, Overbeek, Ross A., Segall, Anca, Rohwer, Forest, Dinsdale, Elizabeth, Edwards, Robert A.

Language: English

Topic: Microbial Metabolic Engineering and Bioproduction

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4394125939

Cites:

Cited by: 1

Related to: 10