Dr.seq2

Dr.seq2 performs quality control and analysis of parallel single cell transcriptome and epigenome datasets, including Drop-ChIP and scATAC-seq, to assess data integrity and characterize cell-to-cell heterogeneity.

Key Features:

• Multi-data-type QC and analysis: Provides QC and analytical functionalities tailored to single cell transcriptome, Drop-ChIP, and scATAC-seq data.
• Four-group QC framework: Implements four groups of QC measurements for comprehensive assessment of dataset quality.
• Cell-to-cell heterogeneity analysis: Performs analyses to characterize cellular heterogeneity and regulatory variation.
• Integrated transcriptome-epigenome support: Handles parallel single cell transcriptome and epigenome datasets for combined analyses.
• Applied validation: Demonstrated on published single cell transcriptome and epigenome datasets.

Scientific Applications:

• Quality control for single cell transcriptome data: Assess integrity and reliability of single cell transcriptome datasets.
• Quality control for Drop-ChIP data: Evaluate epigenomic dataset quality generated by Drop-ChIP experiments.
• Quality control for scATAC-seq data: Assess data quality for single cell ATAC-seq datasets.
• Cell-to-cell heterogeneity analysis: Characterize cellular diversity and infer regulatory differences among single cells.
• Integrative analysis of parallel datasets: Enable combined analyses of transcriptomic and epigenomic single cell data.

Methodology:

Performs four groups of QC measurements and cell-to-cell heterogeneity analyses for single cell transcriptome, Drop-ChIP, and scATAC-seq datasets.