This code is supplementary to the paper "Kinetic modulation of bacterial hydrolases by microbial community structure in coastal waters" by Abad et al. It contains the following files: 0) README.txt: This README file. 1) Complex saturation kinetics modelling.R: It contains the code developed for the determination of the kinetic parameters of the extracellular enzymatic activities by fitting the hydrolysis rates to four different kinetic models of increasing complexity using a non-linear least squares regression. 2) LSA functions.R: It contains the functions implemented in R to perform the Local Similarity analysis. Our specific modifications related to the function LocalSimilarity3 are indicated by the comment "#New: modified function". 3) LSA script.R: It is an updated version of the code developed by Ruan et al (2006) that has been used to perform the Local Similarity analysis in our study. The comment "#New: modified function” indicates our specific modifications within the original code. The following modifications were added to the original code: The calculation of the linear interpolation of missing values (NA’s) using the R package zoo (Zeleis et al 2021). The calculation of the q-values by using the R package qvalue (Storey et al 2022). NOTE: it is important to set the working directory in the same folder where all the provided files are stored.

{"references": ["Ruan et al (2006). Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors. doi:10.1093/bioinformatics/btl417", "Storey et al (2022). qvalue: Q-value estimation for false discovery rate control. R package version 2.28.0, http://github.com/jdstorey/qvalue.", "Zeileis & Grothendieck (2005). zoo: S3 Infrastructure for Regular and Irregular Time Series. doi:10.18637/jss.v014.i06"]}