Estimated Number of Cells

1,015

Mean Reads per Cell

60,793

Sequencing

Number of Reads 61,705,744
Valid Barcodes 98.3%
hg19 Reads Mapped Confidently to Transcriptome 42.4%
mm10 Reads Mapped Confidently to Transcriptome 23.7%
hg19 Reads Mapped Confidently to Exonic Regions 45.2%
mm10 Reads Mapped Confidently to Exonic Regions 24.9%
hg19 Reads Mapped Confidently to Intronic Regions 6.5%
mm10 Reads Mapped Confidently to Intronic Regions 3.5%
hg19 Reads Mapped Confidently to Intergenic Regions 1.6%
mm10 Reads Mapped Confidently to Intergenic Regions 1.1%
Sequencing Saturation 24.4%
Q30 Bases in Barcode 97.9%
Q30 Bases in RNA Read 82.3%
Q30 Bases in Sample Index 96.9%
Q30 Bases in UMI 98.0%

GEM Partitions

GEMs with >0 Cells 1,015
GEMs with >1 Cell 6
Fraction GEMs with >1 Cell 0.6%
Mean UMI Count Purity 99.1%
 

Cells

Cells
CellsBackground
Estimated Number of Cells 1,015
hg19 Estimated Number of Cell Partitions 504
mm10 Estimated Number of Cell Partitions 514
hg19 Fraction Reads in Cells 85.1%
mm10 Fraction Reads in Cells 88.6%
Mean Reads per Cell 60,793
hg19 Median Genes per Cell 5,443
mm10 Median Genes per Cell 3,901
hg19 Total Genes Detected 17,517
mm10 Total Genes Detected 14,031
hg19 Median UMI Counts per Cell 33,185
mm10 Median UMI Counts per Cell 18,716

Sample

Name hgmm_1k
Description 1:1 mixture of fresh frozen human (HEK293T) and mouse (NIH3T3) cells
Transcriptome hg19, mm10
Chemistry Single Cell 3' v2
Cell Ranger Version 1.2.0
Each point represents a cell-barcode. The axes measure the total UMI counts in each cell-barcode that mapped to each transcriptome reference. The points are colored by the number of inferred cells in the GEM associated with each barcode. A multiplet represents either a GEM inferred to have encapsulated >1 cell or a barcode sequence that was shared by multiple single-cell GEMs.

Cell UMI Counts

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hg19 UMI countsmm10 UMI countshg19mm10Multiplet
 
This plot shows the Sequencing Saturation metric as a function of downsampled sequencing depth in mean reads per cell, up to the observed sequencing depth. Sequencing Saturation is a measure of the observed library complexity, and approaches 1.0 (100%) when all converted mRNA transcripts have been sequenced. The slope of the curve near the endpoint can be interpreted as an upper bound to the benefit to be gained from increasing the sequencing depth beyond this point. The dotted line is drawn at a value reasonably approximating the saturation point.

Sequencing Saturation

010k20k30k40k50k00.20.40.60.81
Mean Reads per CellSequencing Saturation
 
This plot shows the Median Genes per Cell as a function of downsampled sequencing depth in mean reads per cell, up to the observed sequencing depth. The slope of the curve near the endpoint can be interpreted as an upper bound to the benefit to be gained from increasing the sequencing depth beyond this point.

Median Genes per Cell

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Mean Reads per CellMedian Genes per Cellhg19mm10