sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution.
| Autor: | Cheng C; Department of Biological Sciences, University of Southern California, Los Angeles, California, USA., Thrash JC; Department of Biological Sciences, University of Southern California, Los Angeles, California, USA thrash@usc.edu. |
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| Jazyk: | angličtina |
| Zdroj: | Microbiology resource announcements [Microbiol Resour Announc] 2021 May 13; Vol. 10 (19). Date of Electronic Publication: 2021 May 13. |
| DOI: | 10.1128/MRA.00296-21 |
| Abstrakt: | 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. (Copyright © 2021 Cheng and Thrash.) |
| Databáze: | MEDLINE |
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