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Monocle
Monocle is a toolkit for analyzing single-cell RNA-seq data, enabling researchers to build trajectories, classify cells, and find differentially expressed genes.
Science & Healthcare
Good for
Build single-cell trajectories (pseudotime analysis)Group and classify cells based on gene expression
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About Monocle
Monocle is a computational tool designed for the analysis of single-cell RNA sequencing (scRNA-seq) data. It allows researchers to uncover cell heterogeneity, classify cell types and states, and understand developmental trajectories. Utilizing sophisticated algorithms, Monocle constructs single-cell trajectories, identifies cell fate decisions, and pinpoints genes regulated during these processes. It also enables the identification of marker genes for cell types and states, aiding in downstream experiments like immunofluorescence or flow sorting. Differential expression analysis within Monocle helps researchers to find genes that vary between cell types, states, or along trajectories. Monocle is intended for use by computational biologists and researchers in genomics and related fields.
Core Capabilities
Monocle is a computational tool designed for the analysis of single-cell RNA sequencing (scRNA-seq) data.
