Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments
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Updated: Apr 5, 2026

Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae
Published on: June 14, 2013
Ning Leng1,2, Li-Fang Chu2, Chris Barry2
1Department of Statistics, University of Wisconsin, Madison, WI, USA.
Abstract:
Oscillatory gene expression is fundamental to development, but technologies for monitoring expression oscillations are limited. We have developed a statistical approach called Oscope to identify and characterize the transcriptional dynamics of oscillating genes in single-cell RNA-seq data from an unsynchronized cell population. Applying Oscope to a number of data sets, we demonstrated its utility and also identified a potential artifact in the Fluidigm C1 platform.
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