Metrics Summary CSV


File: [sample_name]_Metrics_Summary.csv

The Metrics summary provides statistics on sequencing, molecules, cells, and bioproducts.

Sample Tag, VDJ and AbSeq metrics display only when they are used in an experiment.

Metrics summary output sections and metrics

Sequencing Quality

MetricDefinitionMajor contributing factors
Total_Reads_in_FASTQNumber of read pairs in the input FASTQ filesSequencing amount
Pct_Read_Pair_OverlapPercentage of read pairs overlapped with each otherLibrary quality
Pct_Reads_Too_ShortPercentage of read pairs filtered out due to lengthSequencing quality
Pct_Reads_Low_Base_QualityPercentage of reads filtered out due to average base quality score <20Sequencing quality
Pct_Reads_High_SNFPercentage of read pairs filtered out due to single nucleotide frequency ≥55% for R1 or ≥80% for R2Sequencing quality
Pct_Reads_Filtered_OutPercentage of reads removed by the combination of length, quality, and SNF filtersSequencing quality
LibraryName of libraryName of library

Library Quality

MetricDefinitionMajor contributing factors
Total_Filtered_ReadsNumber of read pairs after length, quality, and SNF filteringSequencing amount
Sequencing quality
Library quality
Pct_Q30_Bases_in_Filtered_R2Percentage of R2 bases with quality score >30, averaged across all read pairs retained after quality filteringSequencing quality
Pct_CellLabel_UMIPercentage of read pairs containing a valid cell label and UMISequencing quality
Library quality
Pct_CellLabel_UMI_Aligned_UniquelyPercentage of read pairs containing a valid cell label and UMI that aligned uniquelySequencing quality
Library quality
Pct_Reads_UsefulPercentage of read pairs containing a valid cell label and UMI that aligned uniquely to a valid bioproductSequencing quality
Library quality
LibraryName of libraryName of library

Alignment Categories

MetricDefinitionMajor contributing factors
Total_CellLabel_UMI_ReadsNumber of read pairs containing a valid cell label and UMISequencing quality
Library quality
Annotated_Transcriptome_PctPercentage of cellular reads with read 2 aligned uniquely to gene present in the transcriptome (WTA) or mRNA panel (Targeted)Sequencing quality
Library quality
Cell type
Introns_PctPercentage of cellular reads with read 2 aligned uniquely to an intronic region of a geneSequencing quality
Library quality
Cell type
Intergenic_Regions_PctPercentage of cellular reads with read 2 aligned uniquely to an intergenic regionSequencing quality
Library quality
Cell type
Antisense_PctPercentage of cellular reads with read 2 aligned uniquely to an antisense strandSequencing quality
Library quality
Cell type
Not_Unique_PctPercentage of cellular reads with read 2 not uniquely alignedSequencing quality
Library quality
Cell type
Ambiguous_PctPercentage of cellular reads with read 2 aligned to region with ambiguous annotationSequencing quality
Library quality
Cell type
No_Feature_PctPercentage of cellular reads with read 2 aligned to non-annotated region (WTA) or targeted mRNA reads that are filtered out due to an invalid alignmentSequencing quality
Library quality
Cell type
AbSeq_PctPercentage of cellular reads with read 2 aligned to AbSeq referenceSequencing quality
Library quality
Sample_Tag_PctPercentage of cellular reads with read 2 aligned to Sample TagSequencing quality
Library quality
VDJ_TCR_PctPercentage of cellular reads with read 2 aligned to TCR gene segmentsSequencing quality
Library quality
VDJ_BCR_PctPercentage of cellular reads with read 2 aligned to BCR gene segmentsSequencing quality
Library quality
Unaligned_PctPercentage of cellular reads with read 2 unaligned to referenceSequencing quality
Library quality
LibraryName of libraryName of library

Reads and Molecules

MetricDefinitionMajor contributing factors
Aligned_Reads_By_TypeNumber of filtered read pairs aligned to bioproduct typeSequencing quality
Library quality
Total_Raw_MoleculesTotal number of molecules as defined by the unique combination of cell label, bioproduct identity, and UMISequencing depth
Library quality
Total_RSEC_MoleculesTotal number of molecules detected after the RSEC molecular identifier adjustment algorithmSequencing depth
Library quality
Mean_Raw_Sequencing_DepthAverage number of read pairs per molecule before molecular identifier adjustment algorithmsSequencing depth
Mean_RSEC_Sequencing_DepthAverage number of read pairs per molecule after the RSEC molecular identifier adjustment algorithmSequencing depth
Sequencing_SaturationPercentage of read pairs representing RSEC-adjusted molecules that are sequenced more than onceSequencing depth
Bioproduct_TypeType of bioproduct in experiment (mRNA or AbSeq)Assay type

Cells

MetricDefinitionMajor contributing factors
Putative_Cell_CountNumber of cell labels detected by the cell label filtering algorithmNumber of cells input and captured by cartridge workflow
Bead handling
Pct_Reads_from_Putative_CellsPercentage of reads that are assigned to putative cellsCell viability
Cartridge workflow performance
Staining and washing (AbSeq)
Mean_Reads_per_CellAverage number of reads representing the molecules detected in each cellSequencing depth
Median_Reads_per_CellMedian number of reads representing the molecules detected in each cellSequencing depth
Mean_Molecules_per_CellAverage number of molecules detected per cell labelSequencing depth
Median_Molecules_per_CellMedian number of molecules detected per cell labelSequencing depth
Mean_Bioproducts_per_CellAverage number of bioproducts detected per cell labelSequencing depth
Median_Bioproducts_per_CellMedian number of bioproducts detected per cell labelSequencing depth
Total_Bioproducts_DetectedNumber of bioproducts detected from all cellsSequencing depth
Bioproduct_TypeType of bioproduct in experiment (mRNA or AbSeq)Assay type

Sample Tags (if applicable)

MetricDefinitionMajor contributing factors
Sample_Tag_Filtered_ReadsNumber of filtered read pairs aligned to Sample TagsSequencing depth
ST_Pct_Reads_from_Putative_CellsPercentage of Sample Tag reads that are assigned to putative cellsCell viability
Sample Tag labeling and wash protocols
Cartridge workflow performance
Sequencing depth

VDJ (if applicable)