AI generated summary of Pubmed citation/abstract with PMID 38093482

https://pubmed.ncbi.nlm.nih.gov/38093482
The abstract describes the development of a new bioinformatics tool called Time Course Inspector (TCI) for analyzing single-cell time-series datasets. TCI is a user-friendly tool written in R/Shiny that combines time-series analysis with clustering to identify sub-populations of cells with distinct temporal behaviors, which may correspond to different cell fates. The authors demonstrate the utility of TCI by analyzing a single-cell signaling time-series dataset acquired using a fluorescent biosensor. TCI allows users to conveniently inspect time-series data, plot different views, and remove outliers. It also facilitates the interactive exploration of various hierarchical clustering and cluster validation methods. The tool is available on GitHub, and supplementary data are available online.