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scMC learns biological variation through the alignment of multiple single-cell genomics datasets

What is being modeled?
Integration and comparison of multiple single-cell genomics datasets
Description & purpose of resource

scMC is an R toolkit for integrating and comparing multiple single cell genomic datasets from single cell RNA-seq and ATAC-seq experiments across different conditions, time points and tissues.

Spatial scales
cellular
tissue
organ
Temporal scales
1 - 103 s
hours
days
This resource is currently
mature and useful in ongoing research
Link to Resource Credibility Assessment
scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Key publications (e.g. describing or using resource)

Zhang, Lihua, and Qing Nie. "scMC learns biological variation through the alignment of multiple single-cell genomics datasets." Genome Biology 22, no. 1 (2021): 1-28.

DOI link to publication describing this resource

https://doi.org/10.1186/s13059-020-02238-2

Link to resource
scMC package
Collaborators
Qing Nie (PI)
PI contact information
qnie@uci.edu
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