Gcplyr: an R package for microbial growth curve data analysis.

ABSTRACT:

Background

Characterization of microbial growth is of both fundamental and applied interest. Modern platforms can automate collection of high-throughput microbial growth curves, necessitating the development of computational tools to handle and analyze these data to produce insights.

Results

To address this need, here I present a newly-developed R package: gcplyr. gcplyr can flexibly import growth curve data in common tabular formats, and reshapes it under a tidy framework that is flexible and extendable, enabling users to design custom analyses or plot data with popular visualization packages. gcplyr can also incorporate metadata and generate or import experimental designs to merge with data. Finally, gcplyr carries out model-free (non-parametric) analyses. These analyses d

SUBMITTER: Blazanin M 

PROVIDER: S-EPMC11232339 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature