Journal
BIOINFORMATICS
Volume 36, Issue 6, Pages 1968-1969Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz846
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Funding
- University of Bern
- Swiss National Science Foundation [176008]
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A Summary: Thanks to recent advances in live cell imaging of biosensors, microscopy experiments can generate thousands of single-cell time-series. To identify sub-populations with distinct temporal behaviours that correspond to different cell fates, we developed Time Course Inspector (TCI)-a unique tool written in R/Shiny to combine time-series analysis with clustering. With TCI it is convenient to inspect time-series, plot different data views and remove outliers. TCI facilitates interactive exploration of various hierarchical clustering and cluster validation methods. We showcase TCI by analysing a single-cell signalling time-series dataset acquired using a fluorescent biosensor.
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