Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26301841.
- Also identified by DOI 10.1038/nmeth.3549 and PMC identifier 4589503.
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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.
Medical subject headings
- Data Interpretation, Statistical
- Models, Genetic
- Sequence Analysis, RNA
- Single-Cell Analysis