Affiliation:
1. Department of Biological Sciences, University of Southern California, Los Angeles, California, USA
Abstract
Here, we introduce a Python-based repository sparse-growth-curve, a software package designed for parsing cellular growth curves with low temporal resolution. The repository uses cell density and time data as the input, automatically separates different growth phases, calculates the exponential growth rates, and produces multiple graphs to aid in interpretation.
Funder
Simons Foundation
National Science Foundation
Publisher
American Society for Microbiology
Subject
Genetics,Immunology and Microbiology (miscellaneous),Molecular Biology
Cited by
10 articles.
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