BioConductor methods for single-cell RNA-Seq data analysis

 Implements functions for low-level analyses of single-cell RNA-seq data.
 Methods are provided for normalization of cell-specific biases,
 assignment of cell cycle phase, detection of highly variable and
 significantly correlated genes, identification of marker genes, and
 other common tasks in routine single-cell analysis workflows.