Autor: |
Smug, Bogna J., Opalek, Monika, Necki, Maks, Wloch‐Salamon, Dominika |
Předmět: |
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Zdroj: |
Methods in Ecology & Evolution; Feb2024, Vol. 15 Issue 2, p301-307, 7p |
Abstrakt: |
The duration of lag phase can be used as an organismal fitness marker; however, it is often underreported as its estimation may be challenging and method and parameters dependent. Moreover, there are no publicly available tools to calculate lag duration by different methods.We developed a shiny‐based web application (https://microbialgrowth.shinyapps.io/lag%5fcalulator/) where the lag duration can be calculated based on the user‐specified growth curve data, and for various explicitly specified methods, parameters and data preprocessing techniques. Additionally, we release an R package 'miLAG' that can be further customised and developed.We also describe in short the assumptions, advantages and disadvantages of the most popular lag calculation methods and propose a decision tree to choose a method most suited to one's data.Finally, we show some working examples of how to calculate lag duration using our shiny server. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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