2021
DOI: 10.1128/mra.00296-21
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sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution

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.

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Cited by 11 publications
(10 citation statements)
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“…Cell concentrations were enumerated using a Guava EasyCyte 5HT flow cytometer (Millipore, Massachusetts, USA) with previously reported settings [19,31]. Growth rates were calculated using sparse-growth-curve [58].…”
Section: Growth Experimentsmentioning
confidence: 99%
“…Cell concentrations were enumerated using a Guava EasyCyte 5HT flow cytometer (Millipore, Massachusetts, USA) with previously reported settings [19,31]. Growth rates were calculated using sparse-growth-curve [58].…”
Section: Growth Experimentsmentioning
confidence: 99%
“…Strain purity and identity were verified at the end of experiments using PCR of the 16S rRNA gene as previously reported ( 10 ). Growth rates for all experiments were calculated with the sparse-growth-curve script ( https://github.com/thrash-lab/sparse-growth-curve ) ( 113 ).…”
Section: Methodsmentioning
confidence: 99%
“…GTDB-tk placed the LSUCC0859 genome within the Flavobacteriaceae , with the nearest neighbor being the metagenome-assembled genome (MAG) “MAG-120531 sp000173115” (average nucleotide identity, 78.71%). The organism had a mean growth rate of 2.4 doublings day −1 (calculated as described in reference 12 ) at room temperature in MWH3 medium ( Fig. 1 ).…”
Section: Announcementmentioning
confidence: 99%
“… Growth curves (left) and calculated growth rates (right) for LSUCC0859 growing at room temperature on MWH3 medium. Output is from sparse-growth-curve ( 12 ). …”
Section: Announcementmentioning
confidence: 99%