sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution

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 gro...

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Detalles Bibliográficos
Autores principales: Cheng, Chuankai, Thrash, J. Cameron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Databases and Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142577/
https://www.ncbi.nlm.nih.gov/pubmed/33986091
http://dx.doi.org/10.1128/MRA.00296-21
Descripción
Sumario: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.

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