20250812_LH00166_0158_A2373MHLT3 DAQ-UMI Report: MultiQC Report

General Statistics

Note: Fastp columns represent a single lane; umi-tools columns derived from chr1 only

Showing ¹⁶/₁₆ rows and ¹⁹/₃₀ columns.

Sample Name	Mean Cov.	Min Cov.	Max Cov.	Mb Total Coverage Bases	Genome length	Fold Enrichment	Median Target Coverage	Target Bases ≥ 30X	Insert Size	Mean Insert Size	Error rate	Non-primary	Reads mapped	% Mapped	% Proper pairs	% MapQ 0 reads	Total seqs	Mean insert	% Dups	M Unique Reads	% Pass Dedup	% Duplication	% > Q30	Mb Q30 bases	Reads After Filtering	GC content	% PF	% Adapter	Mean R1 Length	Mean R2 Length
52944-ND01001	868.3X	0.0X	36160.0X	29656.7Mb	34156490	45X	843.0X	98%	178bp	209bp	0.76%	0.0M	610.6M	100.0%	98.4%	6.0%	610.6M	232.4bp	80%	32.0M	30.3%	11.0%	97.3%	35417.8Mb	255.3M	49.2%	99.1%	6.2%	150.0bp	150.0bp
52944-ND01001_2																						0.0%	0.0%	0.0Mb	0.0M	0.0%			0.0bp	0.0bp
52949-ND0659	746.2X	0.0X	31626.0X	25487.2Mb	34156490	46X	725.0X	99%	178bp	203bp	0.76%	0.0M	528.6M	100.0%	97.9%	6.0%	528.6M	227.8bp	79%	28.3M	31.3%	8.6%	97.1%	28444.2Mb	206.0M	48.7%	99.0%	7.3%	150.0bp	150.0bp
52949-ND0659_2	747.6X	0.0X	31255.0X	25535.9Mb	34156490	46X	727.0X	99%	178bp	205bp	0.77%	0.0M	534.5M	100.0%	97.7%	6.2%	534.5M	229.7bp	82%	28.6M	27.7%	12.0%	97.3%	33254.4Mb	240.2M	48.7%	99.1%	6.8%	150.0bp	150.0bp
54158-06	398.1X	0.0X	24351.0X	13596.2Mb	34156490	40X	381.0X	98%	204bp	276bp	0.83%	0.0M	298.6M	100.0%	96.8%	6.9%	298.6M	275.5bp	89%	15.8M	16.5%	16.2%	96.9%	31506.0Mb	228.7M	49.4%	98.9%	6.2%	150.0bp	150.0bp
54158-06_2	338.2X	0.0X	20710.0X	11550.9Mb	34156490	40X	323.0X	98%	202bp	274bp	0.82%	0.0M	254.9M	100.0%	96.8%	7.0%	254.9M	273.5bp	89%	13.5M	16.4%	15.5%	97.0%	27722.0Mb	201.0M	49.2%	98.9%	6.2%	150.0bp	150.0bp
54158-12_2	148.9X	0.0X	8123.0X	5085.0Mb	34156490	38X	141.0X	98%	291bp	318bp	0.81%	0.0M	107.8M	100.0%	95.6%	6.7%	107.8M	315.8bp	83%	5.8M	23.4%	12.7%	95.7%	8152.8Mb	59.8M	49.9%	98.3%	4.5%	150.0bp	150.0bp
54158-12t	59.4X	0.0X	3411.0X	2028.8Mb	34156490	42X	55.0X	91%	226bp	299bp	0.78%	0.0M	39.5M	100.0%	96.9%	5.8%	39.5M	296.6bp	66%	2.2M	40.4%	7.3%	95.9%	1621.5Mb	11.9M	49.8%	98.4%	5.5%	150.0bp	150.0bp
A2	1053.8X	0.0X	51935.0X	35995.6Mb	34156490	46X	1026.0X	99%	180bp	210bp	0.78%	0.0M	733.5M	100.0%	97.9%	5.9%	733.5M	233.7bp	77%	38.4M	32.4%	10.3%	97.2%	38920.3Mb	282.5M	49.7%	99.0%	8.3%	150.0bp	150.0bp
B1	358.9X	0.0X	21342.0X	12257.0Mb	34156490	42X	345.0X	98%	178bp	210bp	0.84%	0.0M	276.2M	100.0%	97.0%	7.6%	276.2M	236.1bp	89%	14.3M	16.5%	16.5%	97.2%	28127.1Mb	204.6M	49.6%	99.1%	10.4%	150.0bp	150.0bp
C1	695.6X	0.0X	26968.0X	23757.9Mb	34156490	46X	673.0X	98%	170bp	180bp	0.79%	0.0M	508.6M	100.0%	89.8%	7.1%	508.6M	206.8bp	84%	26.4M	24.3%	10.7%	97.3%	36069.4Mb	261.9M	49.7%	99.1%	10.9%	150.0bp	150.0bp
E1	420.4X	0.0X	27283.0X	14358.9Mb	34156490	40X	403.0X	98%	190bp	249bp	0.82%	0.0M	319.5M	100.0%	96.8%	7.1%	319.5M	267.2bp	89%	16.8M	15.5%	13.4%	96.7%	34790.8Mb	252.9M	49.1%	98.9%	6.3%	150.0bp	150.0bp
F1	626.1X	0.0X	32863.0X	21386.4Mb	34156490	43X	607.0X	98%	179bp	210bp	0.79%	0.0M	463.9M	100.0%	97.6%	6.9%	463.9M	234.1bp	87%	23.9M	19.2%	14.7%	97.2%	41179.2Mb	298.5M	49.4%	99.1%	8.1%	150.0bp	150.0bp
G1	632.9X	0.0X	15797.0X	21616.0Mb	34156490	44X	618.0X	98%	180bp	215bp	0.80%	0.0M	457.1M	100.0%	98.0%	6.4%	457.1M	237.5bp	83%	23.9M	24.2%	13.8%	97.2%	31962.2Mb	231.3M	49.6%	99.1%	7.5%	150.0bp	150.0bp
G2	1013.9X	0.0X	40267.0X	34630.2Mb	34156490	48X	985.0X	98%	173bp	186bp	0.76%	0.0M	710.7M	100.0%	93.6%	6.2%	710.7M	210.1bp	75%	37.1M	35.2%	7.6%	97.3%	34389.1Mb	249.4M	49.3%	99.1%	9.2%	150.0bp	150.0bp
H1	833.1X	0.0X	28034.0X	28454.7Mb	34156490	47X	808.0X	98%	170bp	179bp	0.78%	0.0M	597.8M	100.0%	88.5%	6.7%	597.8M	205.0bp	80%	31.2M	29.1%	10.5%	97.7%	35468.0Mb	256.5M	50.0%	99.3%	9.7%	150.0bp	150.0bp

Expand table

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: general_stats_table_table

Sort	Group	Column	Description	ID	Scale
\|\|	Mosdepth	Mean Cov.	Mean coverage	`mosdepth-mean_coverage`
\|\|	Mosdepth	Min Cov.	Minimum coverage	`mosdepth-min_coverage`
\|\|	Mosdepth	Max Cov.	Maximum coverage	`mosdepth-max_coverage`
\|\|	Mosdepth	Mb Total Coverage Bases	Total coverage of bases (millions)	`mosdepth-coverage_bases`	base_count
\|\|	Mosdepth	Genome length	Total length of the genome	`mosdepth-length`
\|\|	Picard: HsMetrics	Fold Enrichment	Fold Enrichment	`picard_hsmetrics-FOLD_ENRICHMENT`
\|\|	Picard: HsMetrics	Median Target Coverage	The median coverage of reads that mapped to target regions of an experiment.	`picard_hsmetrics-MEDIAN_TARGET_COVERAGE`
\|\|	Picard: HsMetrics	Target Bases ≥ 30X	Percent of target bases with coverage ≥ 30X	`picard_hsmetrics-picard_target_bases_30X`
\|\|	Picard: InsertSizeMetrics	Insert Size	Median Insert Size, all read orientations (bp)	`picard_insertsizemetrics-summed_median`
\|\|	Picard: InsertSizeMetrics	Mean Insert Size	Mean Insert Size, all read orientations (bp)	`picard_insertsizemetrics-summed_mean`
\|\|	Samtools: stats	Error rate	Error rate: mismatches (NM) / bases mapped (CIGAR)	`samtools_stats-error_rate`
\|\|	Samtools: stats	Non-primary	Non-primary alignments (millions)	`samtools_stats-non_primary_alignments`	read_count
\|\|	Samtools: stats	Reads mapped	Reads mapped in the bam file (millions)	`samtools_stats-reads_mapped`	read_count
\|\|	Samtools: stats	% Mapped	% Mapped reads	`samtools_stats-reads_mapped_percent`
\|\|	Samtools: stats	% Proper pairs	% Properly paired reads	`samtools_stats-reads_properly_paired_percent`
\|\|	Samtools: stats	% MapQ 0 reads	% of reads that are ambiguously placed (MapQ=0)	`samtools_stats-reads_MQ0_percent`
\|\|	Samtools: stats	Total seqs	Total sequences in the bam file (millions)	`samtools_stats-raw_total_sequences`	read_count
\|\|	Samtools: stats	Mean insert	Average insert size	`samtools_stats-insert_size_average`
\|\|	Sambamba: markdup	% Dups	Rate of Duplication per Sample	`sambamba_markdup-duplicate_rate`
\|\|	UMI-tools	M Unique Reads	Reads remaining after deduplication (millions)	`umi_tools-dedup_output_reads`	read_count
\|\|	UMI-tools	% Pass Dedup	% processed reads that passed deduplication	`umi_tools-dedup_percent_passing`
\|\|	fastp	% Duplication	Duplication rate before filtering	`fastp-pct_duplication`
\|\|	fastp	% > Q30	Percentage of reads > Q30 after filtering	`fastp-after_filtering_q30_rate`
\|\|	fastp	Mb Q30 bases	Bases > Q30 after filtering (millions)	`fastp-after_filtering_q30_bases`	base_count
\|\|	fastp	Reads After Filtering	Total reads after filtering (millions)	`fastp-filtering_result_passed_filter_reads`	read_count
\|\|	fastp	GC content	GC content after filtering	`fastp-after_filtering_gc_content`
\|\|	fastp	% PF	Percent reads passing filter	`fastp-pct_surviving`
\|\|	fastp	% Adapter	Percentage adapter-trimmed reads	`fastp-pct_adapter`
\|\|	fastp	Mean R1 Length	Mean read length of R1	`fastp-before_filtering_read1_mean_length`
\|\|	fastp	Mean R2 Length	Mean read length of R2	`fastp-before_filtering_read2_mean_length`

Seqtool

Seqtool performs qc analyses on sequencing alignments.

Basic Stats

Full summary statistics from seqtool output.

Showing ¹⁵/₁₅ rows and ⁷⁰/₇₀ columns.

Sample Name	reads	unique_reads	pairs	proper_pairs	pairs_on_target	pairs_off_target	reads_on_target	reads_off_target	frac_reads_on_target	frac_reads_off_target	frac_pairs_on_target	frac_pairs_off_target	frac_proper_pairs	frac_bases_gt30x	frac_bases_gt100x	frag_size_q20	frag_size_median	frag_size_q80	frag_size_mean	frag_size_std	n_q20	n_q25	n_q30	n_bases	mean_depth	cv_depth	max_depth	q1_depth	q5_depth	q50_depth	q95_depth	q99_depth	lt100x	lt700x	n_bases_gt30x	n_bases_gt100x	gc_0.0	gc_0.1	gc_0.15	gc_0.2	gc_0.25	gc_0.3	gc_0.35	gc_0.4	gc_0.45	gc_0.5	gc_0.55	gc_0.6	gc_0.65	gc_0.7	gc_0.75	gc_0.8	gc_0.85	gc_0.9	gc_1.0	bed	saturation_at_1000000_reads	roi_size	contam	n_sites	loglik	lrt	bed_base_count
52944-ND01001_full_basic_stats	610631632.0	610631632.0	308934437.0	300361663.0	270361303.0	30000360.0	483410970.0	127220662.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	182.0	334.0	238.9	94.2	1.0	1.0	1.0	86904206434.0	804.3	0.2	34555.0	223.0	433.0	798.0	1116.0	1567.0	0.0	0.3	33815104.0	33765143.0	0.1	0.5	0.5	0.7	0.8	0.9	1.0	1.1	1.1	1.0	1.1	1.0	0.9	0.8	0.8	0.7	0.5	0.6	0.6	IDT.Exomev2.targets.hg38.bed	972400.0	33951579.0	0.0	5466.0	-53387.3	6280.8	34156137.0
52949-ND0659_2_full_basic_stats	534543158.0	534543158.0	270580975.0	261172225.0	234352861.0	26819364.0	422962139.0	111581019.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	181.0	329.0	232.4	89.5	1.0	1.0	1.0	75971808576.0	696.7	0.2	29951.0	194.0	330.0	694.0	1023.0	1368.0	0.0	0.5	33870933.0	33816055.0	0.1	0.5	0.5	0.7	0.9	0.9	1.0	1.1	1.1	1.0	1.1	1.0	0.9	0.8	0.7	0.7	0.4	0.6	0.2	IDT.Exomev2.targets.hg38.bed	966820.0	33951579.0	0.0	5629.0	-48555.2	6189.3	34156137.0
52949-ND0659_full_basic_stats	528573802.0	528573802.0	267264246.0	258625125.0	232848771.0	25776354.0	421724944.0	106848858.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	181.0	326.0	230.5	87.5	1.0	1.0	1.0	75144905837.0	696.3	0.2	30309.0	192.0	330.0	694.0	1028.0	1359.0	0.0	0.5	33868024.0	33812391.0	0.1	0.4	0.4	0.7	0.8	0.9	1.0	1.1	1.1	1.0	1.0	0.9	0.8	0.8	0.7	0.7	0.4	0.5	0.2	IDT.Exomev2.targets.hg38.bed	966904.0	33951579.0	0.0	5632.0	-49493.6	6415.4	34156137.0
54158-06_2_full_basic_stats	254931531.0	254931531.0	130611593.0	123437683.0	107140897.0	16296786.0	179053223.0	75878308.0	0.7	0.3	0.9	0.1	0.9	1.0	1.0	165.0	204.0	368.0	276.7	120.5	1.0	1.0	1.0	36174485107.0	302.4	0.2	19143.0	107.0	180.0	296.0	407.0	602.0	0.0	1.0	33802508.0	33654672.0	0.1	0.5	0.4	0.8	1.0	1.0	1.0	1.0	1.0	1.0	1.1	1.0	0.9	0.8	0.7	0.7	0.5	0.5	0.4	IDT.Exomev2.targets.hg38.bed	968180.0	33951579.0	0.0	5334.0	-20907.4	2653.0	34156137.0
54158-06_full_basic_stats	298636151.0	298636151.0	153040316.0	144533272.0	125767201.0	18766071.0	209819325.0	88816826.0	0.7	0.3	0.9	0.1	0.9	1.0	1.0	165.0	206.0	369.0	278.4	120.9	1.0	1.0	1.0	42395823924.0	355.4	0.2	22533.0	129.0	215.0	349.0	473.0	705.0	0.0	1.0	33807857.0	33720042.0	0.1	0.6	0.5	0.9	0.9	1.0	1.0	1.0	1.1	1.0	1.1	1.0	0.9	0.8	0.8	0.8	0.5	0.5	0.5	IDT.Exomev2.targets.hg38.bed	970949.0	33951579.0	0.0	5346.0	-25885.3	3534.4	34156137.0
54158-12_2_full_basic_stats	107839714.0	107839714.0	55874219.0	51551896.0	45678326.0	5873570.0	73440887.0	34398827.0	0.7	0.3	0.9	0.1	0.9	1.0	0.8	171.0	290.0	463.0	317.1	136.2	1.0	0.9	0.9	15337999116.0	130.5	0.2	7307.0	44.0	69.0	127.0	187.0	270.0	0.2	1.0	33806597.0	26927652.0	0.1	0.3	0.3	0.7	0.8	0.8	0.9	1.0	1.1	1.0	1.1	1.0	0.8	0.8	0.6	0.7	0.4	0.3	0.1	IDT.Exomev2.targets.hg38.bed	954098.0	33951579.0	0.0	5372.0	-8125.6	842.3	34156137.0
54158-12t_full_basic_stats	39546396.0	39546396.0	20275916.0	19166661.0	17452668.0	1713993.0	29176162.0	10370234.0	0.7	0.3	0.9	0.1	0.9	0.9	0.0	169.0	224.0	416.0	298.8	132.7	1.0	1.0	1.0	5623350929.0	52.6	0.3	3064.0	14.0	24.0	51.0	84.0	114.0	1.0	1.0	30497460.0	614358.0	0.1	0.3	0.3	0.6	0.8	0.8	0.9	1.0	1.1	1.0	1.1	1.0	0.9	0.8	0.7	0.7	0.4	0.3	0.1	IDT.Exomev2.targets.hg38.bed	447852.0	33951579.0	0.0	5191.0	-3040.7	269.2	34156137.0
A2_full_basic_stats	733514788.0	733514788.0	372149770.0	359194274.0	324286771.0	34907503.0	581639079.0	151875709.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	185.0	336.0	239.9	95.7	1.0	1.0	1.0	103848129700.0	977.4	0.2	49304.0	355.0	581.0	973.0	1315.0	1909.0	0.0	0.1	33880619.0	33817703.0	0.1	0.6	0.6	0.9	0.8	1.0	1.1	1.1	1.1	1.0	1.0	0.9	0.9	0.8	0.8	0.8	0.6	0.7	0.5	IDT.Exomev2.targets.hg38.bed	981135.0	33951579.0	0.1	5681.0	-257449.7	123198.1	34156137.0
B1_full_basic_stats	276167515.0	276167515.0	140688668.0	133933352.0	115505307.0	18428045.0	204958031.0	71209484.0	0.7	0.3	0.9	0.1	1.0	1.0	1.0	158.0	181.0	336.0	237.3	97.7	1.0	1.0	1.0	39008535013.0	332.1	0.2	20381.0	119.0	202.0	327.0	434.0	695.0	0.0	1.0	33798997.0	33692972.0	0.1	0.6	0.5	0.8	0.9	1.0	1.0	1.1	1.1	1.0	1.0	0.9	0.8	0.8	0.7	0.7	0.5	0.6	0.5	IDT.Exomev2.targets.hg38.bed	960669.0	33951579.0	0.1	5488.0	-84457.2	40586.8	34156137.0
C1_full_basic_stats	508631211.0	508631211.0	257128429.0	228336357.0	202532991.0	25803366.0	411840253.0	96790958.0	0.8	0.2	0.9	0.1	0.9	1.0	1.0	154.0	170.0	196.0	187.7	41.7	1.0	1.0	1.0	71994954784.0	657.5	0.2	26093.0	231.0	396.0	652.0	875.0	1402.0	0.0	0.6	33847599.0	33768368.0	0.1	0.6	0.5	0.8	1.0	1.0	1.0	1.0	1.0	1.1	1.0	1.0	0.9	0.8	0.8	0.8	0.6	0.7	0.5	IDT.Exomev2.targets.hg38.bed	966654.0	33951579.0	0.0	5456.0	-92133.6	28442.6	34156137.0
E1_full_basic_stats	319458229.0	319458229.0	163840674.0	154581108.0	134344986.0	20236122.0	227645651.0	91812578.0	0.7	0.3	0.9	0.1	0.9	1.0	1.0	166.0	194.0	370.0	271.0	121.2	1.0	1.0	1.0	45442138922.0	381.1	0.2	25878.0	130.0	226.0	375.0	507.0	778.0	0.0	1.0	33818414.0	33720162.0	0.1	0.6	0.5	0.9	0.8	1.0	1.1	1.1	1.1	1.0	1.0	0.9	0.8	0.8	0.8	0.8	0.5	0.6	0.5	IDT.Exomev2.targets.hg38.bed	971296.0	33951579.0	0.0	5458.0	-38243.3	7775.9	34156137.0
F1_full_basic_stats	463896246.0	463896246.0	235586018.0	226433234.0	198759474.0	27673760.0	353542684.0	110353562.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	182.0	336.0	237.4	94.5	1.0	1.0	1.0	65768375646.0	580.0	0.2	31549.0	221.0	369.0	575.0	741.0	1163.0	0.0	0.9	33815795.0	33760573.0	0.1	0.6	0.6	0.9	0.9	1.0	1.1	1.1	1.1	1.0	1.0	0.9	0.8	0.8	0.8	0.7	0.5	0.7	0.6	IDT.Exomev2.targets.hg38.bed	973581.0	33951579.0	0.0	5384.0	-89845.7	28724.2	34156137.0
G1_full_basic_stats	457075586.0	457075586.0	232061858.0	223934309.0	198713545.0	25220764.0	351588951.0	105486635.0	0.8	0.2	0.9	0.1	1.0	1.0	1.0	162.0	183.0	341.0	242.3	97.2	1.0	1.0	1.0	64896117310.0	583.6	0.2	15092.0	202.0	354.0	582.0	773.0	1153.0	0.0	0.9	33809032.0	33755977.0	0.1	0.6	0.6	0.9	0.9	1.0	1.1	1.1	1.1	1.0	1.0	0.9	0.8	0.8	0.8	0.7	0.5	0.8	0.6	IDT.Exomev2.targets.hg38.bed	975105.0	33951579.0	0.0	5502.0	-84573.9	24270.5	34156137.0
G2_full_basic_stats	710660392.0	710660392.0	358813571.0	332445562.0	300203771.0	32241791.0	585532547.0	125127845.0	0.8	0.2	0.9	0.1	0.9	1.0	1.0	158.0	175.0	223.0	200.9	54.8	1.0	1.0	1.0	100726890046.0	957.3	0.2	38286.0	311.0	542.0	952.0	1311.0	1936.0	0.0	0.1	33849156.0	33774669.0	0.1	0.5	0.5	0.8	0.9	1.0	1.0	1.1	1.1	1.0	1.0	1.0	0.9	0.8	0.8	0.7	0.6	0.7	0.5	IDT.Exomev2.targets.hg38.bed	977949.0	33951579.0	0.0	5647.0	-122305.0	32030.1	34156137.0
H1_full_basic_stats	597849997.0	597849997.0	302541053.0	264440918.0	236526427.0	27914491.0	490738064.0	107111933.0	0.8	0.2	0.9	0.1	0.9	1.0	1.0	154.0	171.0	193.0	183.4	35.5	1.0	1.0	1.0	84493658167.0	790.3	0.2	27064.0	277.0	477.0	784.0	1060.0	1670.0	0.0	0.3	33840297.0	33763902.0	0.1	0.6	0.6	0.8	1.0	1.0	1.0	1.0	1.0	1.1	1.0	1.0	0.9	0.8	0.8	0.8	0.6	0.8	0.6	IDT.Exomev2.targets.hg38.bed	971314.0	33951579.0	0.0	5391.0	-102797.9	30519.9	34156137.0

Expand table

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: seqtool_full_basic_stats_table_table

Sort	Column	Description	ID
\|\|	reads	reads	`seqtool-reads`
\|\|	unmapped	unmapped	`seqtool-unmapped`
\|\|	unique_reads	unique_reads	`seqtool-unique_reads`
\|\|	pairs	pairs	`seqtool-pairs`
\|\|	proper_pairs	proper_pairs	`seqtool-proper_pairs`
\|\|	pairs_on_target	pairs_on_target	`seqtool-pairs_on_target`
\|\|	pairs_off_target	pairs_off_target	`seqtool-pairs_off_target`
\|\|	reads_on_target	reads_on_target	`seqtool-reads_on_target`
\|\|	reads_off_target	reads_off_target	`seqtool-reads_off_target`
\|\|	dupes	dupes	`seqtool-dupes`
\|\|	frac_unmapped	frac_unmapped	`seqtool-frac_unmapped`
\|\|	frac_dupes	frac_dupes	`seqtool-frac_dupes`
\|\|	frac_reads_on_target	frac_reads_on_target	`seqtool-frac_reads_on_target`
\|\|	frac_reads_off_target	frac_reads_off_target	`seqtool-frac_reads_off_target`
\|\|	frac_pairs_on_target	frac_pairs_on_target	`seqtool-frac_pairs_on_target`
\|\|	frac_pairs_off_target	frac_pairs_off_target	`seqtool-frac_pairs_off_target`
\|\|	frac_proper_pairs	frac_proper_pairs	`seqtool-frac_proper_pairs`
\|\|	frac_bases_gt30x	frac_bases_gt30x	`seqtool-frac_bases_gt30x`
\|\|	frac_bases_gt100x	frac_bases_gt100x	`seqtool-frac_bases_gt100x`
\|\|	frag_size_q20	frag_size_q20	`seqtool-frag_size_q20`
\|\|	frag_size_median	frag_size_median	`seqtool-frag_size_median`
\|\|	frag_size_q80	frag_size_q80	`seqtool-frag_size_q80`
\|\|	frag_size_mean	frag_size_mean	`seqtool-frag_size_mean`
\|\|	frag_size_std	frag_size_std	`seqtool-frag_size_std`
\|\|	n_q20	n_q20	`seqtool-n_q20`
\|\|	n_q25	n_q25	`seqtool-n_q25`
\|\|	n_q30	n_q30	`seqtool-n_q30`
\|\|	n_bases	n_bases	`seqtool-n_bases`
\|\|	min_depth	min_depth	`seqtool-min_depth`
\|\|	mean_depth	mean_depth	`seqtool-mean_depth`
\|\|	cv_depth	cv_depth	`seqtool-cv_depth`
\|\|	max_depth	max_depth	`seqtool-max_depth`
\|\|	q1_depth	q1_depth	`seqtool-q1_depth`
\|\|	q5_depth	q5_depth	`seqtool-q5_depth`
\|\|	q50_depth	q50_depth	`seqtool-q50_depth`
\|\|	q95_depth	q95_depth	`seqtool-q95_depth`
\|\|	q99_depth	q99_depth	`seqtool-q99_depth`
\|\|	lt100x	lt100x	`seqtool-lt100x`
\|\|	lt700x	lt700x	`seqtool-lt700x`
\|\|	n_bases_gt30x	n_bases_gt30x	`seqtool-n_bases_gt30x`
\|\|	n_bases_gt100x	n_bases_gt100x	`seqtool-n_bases_gt100x`
\|\|	gc_0.0	gc_0.0	`seqtool-gc_0_0`
\|\|	gc_0.05	gc_0.05	`seqtool-gc_0_05`
\|\|	gc_0.1	gc_0.1	`seqtool-gc_0_1`
\|\|	gc_0.15	gc_0.15	`seqtool-gc_0_15`
\|\|	gc_0.2	gc_0.2	`seqtool-gc_0_2`
\|\|	gc_0.25	gc_0.25	`seqtool-gc_0_25`
\|\|	gc_0.3	gc_0.3	`seqtool-gc_0_3`
\|\|	gc_0.35	gc_0.35	`seqtool-gc_0_35`
\|\|	gc_0.4	gc_0.4	`seqtool-gc_0_4`
\|\|	gc_0.45	gc_0.45	`seqtool-gc_0_45`
\|\|	gc_0.5	gc_0.5	`seqtool-gc_0_5`
\|\|	gc_0.55	gc_0.55	`seqtool-gc_0_55`
\|\|	gc_0.6	gc_0.6	`seqtool-gc_0_6`
\|\|	gc_0.65	gc_0.65	`seqtool-gc_0_65`
\|\|	gc_0.7	gc_0.7	`seqtool-gc_0_7`
\|\|	gc_0.75	gc_0.75	`seqtool-gc_0_75`
\|\|	gc_0.8	gc_0.8	`seqtool-gc_0_8`
\|\|	gc_0.85	gc_0.85	`seqtool-gc_0_85`
\|\|	gc_0.9	gc_0.9	`seqtool-gc_0_9`
\|\|	gc_0.95	gc_0.95	`seqtool-gc_0_95`
\|\|	gc_1.0	gc_1.0	`seqtool-gc_1_0`
\|\|	bed	bed	`seqtool-bed`
\|\|	saturation_at_1000000_reads	saturation_at_1000000_reads	`seqtool-saturation_at_1000000_reads`
\|\|	roi_size	roi_size	`seqtool-roi_size`
\|\|	contam	contam	`seqtool-contam`
\|\|	n_sites	n_sites	`seqtool-n_sites`
\|\|	loglik	loglik	`seqtool-loglik`
\|\|	lrt	lrt	`seqtool-lrt`
\|\|	bed_base_count	bed_base_count	`seqtool-bed_base_count`

Picard

Tools for manipulating high-throughput sequencing data.http://broadinstitute.github.io/picard

Hybrid-selection metrics

Parsed from Picard HsMetrics tool that takes a SAM/BAM file input and collects metrics that are specific for sequence datasets generated through hybrid-selection. Hybrid-selection (HS) is the most commonly used technique to capture exon-specific sequences for targeted sequencing experiments such as exome sequencing.

Showing ¹⁵/₁₅ rows and ²⁴/₂₉ columns.

Sample Name	At dropout	Bait design efficiency	Bait territory	Fold 80 base penalty	Fold enrichment	Gc dropout	Het SNP q	Het SNP sensitivity	Near-bait bases	Off-bait bases	On-bait bases	On-target bases	Usable bases on-bait	Usable bases on-target	PF bases	PF bases aligned	PF reads	Selected bases	PF unique reads	PF unique bases aligned	PF unique reads aligned	Total reads	Max target coverage	Mean bait coverage	Mean target coverage	Median target coverage	On-bait vs selected	Target territory	Zero coverage targets
52944-ND01001	0.1	0.8	42301960.0	1.2	45.4	3.3	20.0	1.0	26117.4Mb	8804.1Mb	51783.0Mb	27994.6Mb	59.6%	32.2%	86904.2Mb	86704.4Mb	610.6M	89.8%	610.6M	86704.4Mb	610.6M	610.6M	8387.0	1224.1	819.8	843.0	0.7	34149253.0	0.9%
52949-ND0659	0.1	0.8	42301960.0	1.3	46.0	5.1	20.0	1.0	22028.9Mb	7593.5Mb	45352.8Mb	24150.7Mb	60.4%	32.1%	75144.9Mb	74975.2Mb	528.6M	89.9%	528.6M	74975.2Mb	528.6M	528.6M	4846.0	1072.1	707.2	725.0	0.7	34149253.0	0.8%
52949-ND0659_2	0.1	0.8	42301960.0	1.3	45.5	5.2	20.0	1.0	22492.1Mb	7934.7Mb	45367.9Mb	24154.4Mb	59.7%	31.8%	75971.8Mb	75794.6Mb	534.5M	89.5%	534.5M	75794.6Mb	534.5M	534.5M	5167.0	1072.5	707.3	727.0	0.7	34149253.0	0.8%
54158-06	0.1	0.8	42301960.0	1.2	39.5	2.6	20.0	1.0	14395.8Mb	5881.2Mb	21958.2Mb	12710.0Mb	51.8%	30.0%	42395.8Mb	42235.2Mb	298.6M	86.1%	298.6M	42235.2Mb	298.6M	298.6M	2771.0	519.1	372.2	381.0	0.6	34149253.0	0.8%
54158-06_2	0.1	0.8	42301960.0	1.2	39.5	3.0	20.0	1.0	12246.1Mb	5057.2Mb	18732.1Mb	10797.2Mb	51.8%	29.8%	36174.5Mb	36035.5Mb	254.9M	86.0%	254.9M	36035.5Mb	254.9M	254.9M	2460.0	442.8	316.2	323.0	0.6	34149253.0	0.9%
54158-12_2	0.7	0.8	42301960.0	1.3	38.3	1.8	20.0	1.0	5535.5Mb	2055.9Mb	7690.9Mb	4744.5Mb	50.1%	30.9%	15338.0Mb	15282.3Mb	107.8M	86.5%	107.8M	15282.3Mb	107.8M	107.8M	1220.0	181.8	138.9	141.0	0.6	34149253.0	0.7%
54158-12t	0.6	0.8	42301960.0	1.4	42.4	2.3	19.0	1.0	1894.7Mb	589.5Mb	3125.1Mb	1913.5Mb	55.6%	34.0%	5623.4Mb	5609.4Mb	39.5M	89.5%	39.5M	5609.4Mb	39.5M	39.5M	554.0	73.9	56.0	55.0	0.6	34149253.0	0.8%
A2	0.1	0.8	42301960.0	1.2	45.6	2.0	20.0	1.0	31060.5Mb	10488.8Mb	62059.1Mb	34071.0Mb	59.8%	32.8%	103848.1Mb	103608.4Mb	733.5M	89.9%	733.5M	103608.4Mb	733.5M	733.5M	13330.0	1467.1	997.7	1026.0	0.7	34149253.0	0.7%
B1	0.1	0.8	42301960.0	1.2	42.0	2.8	20.0	1.0	11991.2Mb	5425.1Mb	21455.8Mb	11435.8Mb	55.0%	29.3%	39008.5Mb	38872.2Mb	276.2M	86.0%	276.2M	38872.2Mb	276.2M	276.2M	3166.0	507.2	334.9	345.0	0.6	34149253.0	0.9%
C1	0.1	0.8	42301960.0	1.2	46.5	2.2	20.0	1.0	20016.8Mb	7923.4Mb	43870.4Mb	22300.3Mb	60.9%	31.0%	71995.0Mb	71810.5Mb	508.6M	89.0%	508.6M	71810.5Mb	508.6M	508.6M	6692.0	1037.1	653.0	673.0	0.7	34149253.0	0.8%
E1	0.1	0.8	42301960.0	1.2	40.1	3.4	20.0	1.0	15095.7Mb	6318.6Mb	23860.7Mb	13403.8Mb	52.5%	29.5%	45442.1Mb	45275.0Mb	319.5M	86.0%	319.5M	45275.0Mb	319.5M	319.5M	4640.0	564.1	392.5	403.0	0.6	34149253.0	0.7%
F1	0.1	0.8	42301960.0	1.2	43.1	1.9	20.0	1.0	20247.2Mb	8124.4Mb	37198.4Mb	20077.9Mb	56.6%	30.5%	65768.4Mb	65570.0Mb	463.9M	87.6%	463.9M	65570.0Mb	463.9M	463.9M	5610.0	879.4	587.9	607.0	0.6	34149253.0	0.8%
G1	0.1	0.8	42301960.0	1.2	43.8	2.3	20.0	1.0	19962.0Mb	7495.3Mb	37270.3Mb	20459.1Mb	57.4%	31.5%	64896.1Mb	64727.7Mb	457.1M	88.4%	457.1M	64727.7Mb	457.1M	457.1M	5685.0	881.1	599.1	618.0	0.7	34149253.0	0.9%
G2	0.1	0.8	42301960.0	1.2	47.7	3.2	20.0	1.0	27848.3Mb	9685.0Mb	62984.3Mb	32710.9Mb	62.5%	32.5%	100726.9Mb	100517.7Mb	710.7M	90.4%	710.7M	100517.7Mb	710.7M	710.7M	10036.0	1488.9	957.9	985.0	0.7	34149253.0	0.8%
H1	0.2	0.8	42301960.0	1.2	47.3	1.6	19.0	1.0	23107.7Mb	8804.3Mb	52392.4Mb	26788.0Mb	62.0%	31.7%	84493.7Mb	84304.5Mb	597.8M	89.6%	597.8M	84304.5Mb	597.8M	597.8M	10385.0	1238.5	784.4	808.0	0.7	34149253.0	0.9%

Expand table

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: picard_hsmetrics_table_table

Sort	Column	Description	ID	Scale
\|\|	At dropout	A measure of how undercovered <= 50% GC regions are relative to the mean.	`hsmetrics-AT_DROPOUT`
\|\|	Bait design efficiency	Target territory / bait territory. 1 == perfectly efficient, 0.5 = half of baited bases are not target.	`hsmetrics-BAIT_DESIGN_EFFICIENCY`
\|\|	Bait territory	The number of bases which have one or more baits on top of them.	`hsmetrics-BAIT_TERRITORY`
\|\|	Fold 80 base penalty	The fold over-coverage necessary to raise 80% of bases in "non-zero-cvg" targets to the mean coverage level in those targets.	`hsmetrics-FOLD_80_BASE_PENALTY`
\|\|	Fold enrichment	The fold by which the baited region has been amplified above genomic background.	`hsmetrics-FOLD_ENRICHMENT`
\|\|	Gc dropout	A measure of how undercovered >= 50% GC regions are relative to the mean.	`hsmetrics-GC_DROPOUT`
\|\|	Het SNP q	The Phred Scaled Q Score of the theoretical HET SNP sensitivity.	`hsmetrics-HET_SNP_Q`
\|\|	Het SNP sensitivity	The theoretical HET SNP sensitivity.	`hsmetrics-HET_SNP_SENSITIVITY`
\|\|	Near-bait bases	The number of PF aligned bases that mapped to within a fixed interval of a baited region, but not on a baited region.	`hsmetrics-NEAR_BAIT_BASES`	base_count
\|\|	Off-bait bases	The number of PF aligned bases that mapped to neither on or near a bait.	`hsmetrics-OFF_BAIT_BASES`	base_count
\|\|	On-bait bases	The number of PF aligned bases that mapped to a baited region of the genome.	`hsmetrics-ON_BAIT_BASES`	base_count
\|\|	On-target bases	The number of PF aligned bases that mapped to a targeted region of the genome.	`hsmetrics-ON_TARGET_BASES`	base_count
\|\|	Usable bases on-bait	The number of aligned, de-duped, on-bait bases out of the PF bases available.	`hsmetrics-PCT_USABLE_BASES_ON_BAIT`
\|\|	Usable bases on-target	The number of aligned, de-duped, on-target bases out of the PF bases available.	`hsmetrics-PCT_USABLE_BASES_ON_TARGET`
\|\|	PF bases	The number of bases in the PF reads.	`hsmetrics-PF_BASES`	base_count
\|\|	PF bases aligned	The number of PF unique bases that are aligned with mapping score > 0 to the reference genome.	`hsmetrics-PF_BASES_ALIGNED`	base_count
\|\|	PF reads	The number of reads that pass the vendor's filter.	`hsmetrics-PF_READS`	read_count
\|\|	Selected bases	On+Near Bait Bases / PF Bases Aligned.	`hsmetrics-PCT_SELECTED_BASES`
\|\|	PF unique reads	The number of PF reads that are not marked as duplicates.	`hsmetrics-PF_UNIQUE_READS`	read_count
\|\|	PF unique bases aligned	The number of bases in the PF aligned reads that are mapped to a reference base. Accounts for clipping and gaps.	`hsmetrics-PF_UQ_BASES_ALIGNED`	base_count
\|\|	PF unique reads aligned	The number of PF unique reads that are aligned with mapping score > 0 to the reference genome.	`hsmetrics-PF_UQ_READS_ALIGNED`	read_count
\|\|	Total reads	The total number of reads in the SAM or BAM file examine.	`hsmetrics-TOTAL_READS`	read_count
\|\|	Max target coverage	The maximum coverage of reads that mapped to target regions of an experiment.	`hsmetrics-MAX_TARGET_COVERAGE`
\|\|	Mean bait coverage	The mean coverage of all baits in the experiment.	`hsmetrics-MEAN_BAIT_COVERAGE`
\|\|	Mean target coverage	The mean coverage of targets.	`hsmetrics-MEAN_TARGET_COVERAGE`
\|\|	Median target coverage	The median coverage of targets.	`hsmetrics-MEDIAN_TARGET_COVERAGE`
\|\|	On-bait vs selected	The percentage of on+near bait bases that are on as opposed to near.	`hsmetrics-ON_BAIT_VS_SELECTED`
\|\|	Target territory	The unique number of target bases in the experiment where target is usually exons etc.	`hsmetrics-TARGET_TERRITORY`
\|\|	Zero coverage targets	The fraction of targets that did not reach coverage=1 over any base.	`hsmetrics-ZERO_CVG_TARGETS_PCT`

Hybrid-selection target coverage

The percentage of all target bases with at least x fold coverage.

Created with MultiQC

Insert Size

Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

Created with MultiQC

Samtools

Version:


                      
                        1.21

HTSlib:


                      
                        1.23

Toolkit for interacting with BAM/CRAM files.http://www.htslib.orgDOI: 10.1093/bioinformatics/btp352

Percent mapped

Alignment metrics from samtools stats; mapped vs. unmapped reads vs. reads mapped with MQ0.

For a set of samples that have come from the same multiplexed library, similar numbers of reads for each sample are expected. Large differences in numbers might indicate issues during the library preparation process. Whilst large differences in read numbers may be controlled for in downstream processings (e.g. read count normalisation), you may wish to consider whether the read depths achieved have fallen below recommended levels depending on the applications.

Low alignment rates could indicate contamination of samples (e.g. adapter sequences), low sequencing quality or other artefacts. These can be further investigated in the sequence level QC (e.g. from FastQC).

Reads mapped with MQ0 often indicate that the reads are ambiguously mapped to multiple locations in the reference sequence. This can be due to repetitive regions in the genome, the presence of alternative contigs in the reference, or due to reads that are too short to be uniquely mapped. These reads are often filtered out in downstream analyses.

Created with MultiQC

Alignment stats

This module parses the output from samtools stats. All numbers in millions.

Created with MultiQC

Showing ¹⁵/₁₅ rows and ¹³/₁₃ columns.

Sample Name	Total sequences	Mapped & paired	Properly paired	Duplicated	QC Failed	Reads MQ0	Mapped bases (CIGAR)	Bases Trimmed	Duplicated bases	Diff chromosomes	Other orientation	Inward pairs	Outward pairs
52944-ND01001	610.6M	610.6M	600.7M	0.0M	0.0M	36.7M	86718.3Mb	0.0Mb	0.0Mb	3.7M	0.3M	290.2M	11.1M
52949-ND0659	528.6M	528.6M	517.3M	0.0M	0.0M	31.8M	74986.9Mb	0.0Mb	0.0Mb	3.0M	0.3M	250.7M	10.2M
52949-ND0659_2	534.5M	534.5M	522.4M	0.0M	0.0M	33.3M	75806.8Mb	0.0Mb	0.0Mb	3.4M	0.4M	253.2M	10.3M
54158-06	298.6M	298.6M	289.1M	0.0M	0.0M	20.7M	42244.2Mb	0.0Mb	0.0Mb	3.8M	0.4M	140.0M	5.2M
54158-06_2	254.9M	254.9M	246.9M	0.0M	0.0M	17.7M	36043.3Mb	0.0Mb	0.0Mb	3.2M	0.3M	119.4M	4.5M
54158-12_2	107.8M	107.8M	103.1M	0.0M	0.0M	7.3M	15285.0Mb	0.0Mb	0.0Mb	2.0M	0.2M	50.3M	1.4M
54158-12t	39.5M	39.5M	38.3M	0.0M	0.0M	2.3M	5610.2Mb	0.0Mb	0.0Mb	0.5M	0.0M	18.6M	0.6M
A2	733.5M	733.5M	718.4M	0.0M	0.0M	43.2M	103624.2Mb	0.0Mb	0.0Mb	5.5M	0.5M	343.6M	17.1M
B1	276.2M	276.2M	267.9M	0.0M	0.0M	21.1M	38880.6Mb	0.0Mb	0.0Mb	2.7M	0.3M	127.5M	7.6M
C1	508.6M	508.6M	456.7M	0.0M	0.0M	35.9M	71823.0Mb	0.0Mb	0.0Mb	2.9M	1.1M	235.8M	14.6M
E1	319.5M	319.5M	309.2M	0.0M	0.0M	22.6M	45284.4Mb	0.0Mb	0.0Mb	4.2M	0.4M	150.1M	5.1M
F1	463.9M	463.9M	452.9M	0.0M	0.0M	31.8M	65582.8Mb	0.0Mb	0.0Mb	3.7M	0.4M	217.5M	10.3M
G1	457.1M	457.1M	447.9M	0.0M	0.0M	29.3M	64739.0Mb	0.0Mb	0.0Mb	3.6M	0.3M	215.3M	9.4M
G2	710.7M	710.7M	664.9M	0.0M	0.0M	44.3M	100532.9Mb	0.0Mb	0.0Mb	3.6M	0.9M	333.5M	17.4M
H1	597.8M	597.8M	528.9M	0.0M	0.0M	40.3M	84317.7Mb	0.0Mb	0.0Mb	3.7M	1.3M	277.1M	16.8M

Expand table

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: samtools-stats-dp_table

Sort	Column	Description	ID	Scale
\|\|	Total sequences	Total sequences	`raw_total_sequences`	read_count
\|\|	Mapped & paired	Paired-end technology bit set + both mates mapped	`reads_mapped_and_paired`	read_count
\|\|	Properly paired	Proper-pair bit set	`reads_properly_paired`	read_count
\|\|	Duplicated	PCR or optical duplicate bit set	`reads_duplicated`	read_count
\|\|	QC Failed	QC Failed	`reads_QC_failed`	read_count
\|\|	Reads MQ0	Reads mapped and MQ=0	`reads_MQ0`	read_count
\|\|	Mapped bases (CIGAR)	Mapped bases (CIGAR)	`bases_mapped__cigar`	base_count
\|\|	Bases Trimmed	Bases Trimmed	`bases_trimmed`	base_count
\|\|	Duplicated bases	Duplicated bases	`bases_duplicated`	base_count
\|\|	Diff chromosomes	Pairs on different chromosomes	`pairs_on_different_chromosomes`	read_count
\|\|	Other orientation	Pairs with other orientation	`pairs_with_other_orientation`	read_count
\|\|	Inward pairs	Inward oriented pairs	`inward_oriented_pairs`	read_count
\|\|	Outward pairs	Outward oriented pairs	`outward_oriented_pairs`	read_count

Sambamba

Version:


                      
                        1.0.1

Toolkit for interacting with BAM/CRAM files.https://lomereiter.github.io/sambambaDOI: 10.1093/bioinformatics/btv098

It is functionally similar to Samtools, but the source code is written in the D Language. It allows for faster performance while still being easy to use.

Sambamba Markdup

Number of reads, categorised by duplication state. Pair counts are doubled - see help text for details.

The table in the Picard metrics file contains some columns referring read pairs and some referring to single reads.

To make the numbers in this plot sum correctly, values referring to pairs are doubled according to the scheme below:

Total Sorted Paired End Reads = (Sorted End Pairs * 2) - Duplicate Reads
Total Single End Reads = Single Ends - (2 * Single Unmatched Pairs)
Total Single Unmatched Reads = 2 * Single Unmatched Pairs

Created with MultiQC

UMI-tools

Version:


                      
                        1.1.5

Tools for dealing with Unique Molecular Identifiers (UMIs)/(RMTs) and scRNA-Seq barcodes.https://github.com/CGATOxford/UMI-toolsDOI: 10.1101/gr.209601.116

UMI-tools was run in parallel by chromosome. Report represents only stats from chr1

Deduplicated Reads

Created with MultiQC

UMI Stats

Statistics from running umi_tools dedup or umi_tools extract

Positions Dedup: Total number of positions deduplicated
Total UMIs: Total UMIs found in sample
Unique UMIs: Unique UMIs found in sample
Mean #UMI: Mean number of unique UMIs per position
Max #UMI: Max number of unique UMIs per position

Created with MultiQC

Sample Name	Positions Dedup	Total UMIs	Unique UMIs	Mean #UMI	Max #UMI
52944-ND01001	28990045	105693750	78444	1.14	130
52949-ND0659	25509595	90319733	72863	1.13	53
52949-ND0659_2	25792465	103046110	77149	1.14	53
54158-06	15185252	96111090	72279	1.10	68
54158-06_2	12982059	82563331	68145	1.09	53
54158-12_2	5707720	24952390	43898	1.07	25
54158-12t	2127501	5319938	23550	1.03	9
A2	35937855	118308916	90556	1.09	163
B1	13625395	86409598	73044	1.10	64
C1	24360454	108529103	79534	1.12	88
E1	15932112	107973059	78838	1.11	37
F1	22503610	124771675	82938	1.11	112
G1	22477273	98614467	78412	1.10	75
G2	34194810	105315989	86687	1.11	129
H1	28718974	107151208	82058	1.12	68

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: umitools_stats_violin_table

Sort	Column	Description	ID
\|\|	Positions Dedup	Total number of positions deduplicated	`positions_deduplicated`
\|\|	Total UMIs	Total UMIs found in sample	`total_umis`
\|\|	Unique UMIs	Unique UMIs found in sample	`unique_umis`
\|\|	Mean #UMI	Mean number of unique UMIs per position	`mean_umi_per_pos`
\|\|	Max #UMI	Max number of unique UMIs per position	`max_umi_per_pos`

fastp

Version:


                      
                        1.0.1

All-in-one FASTQ preprocessor (QC, adapters, trimming, filtering, splitting...).https://github.com/OpenGene/fastpDOI: 10.1093/bioinformatics/bty560

Fastp goes through fastq files in a folder and perform a series of quality control and filtering. Quality control and reporting are displayed both before and after filtering, allowing for a clear depiction of the consequences of the filtering process. Notably, the latter can be conducted on a variety of parameters including quality scores, length, as well as the presence of adapters, polyG, or polyX tailing.

Fastp was run on each flowcell lane independently. Only the last lane is represented in this section

Filtered Reads

Filtering statistics of sampled reads.

Created with MultiQC

Insert Sizes

Insert size estimation of sampled reads.

Created with MultiQC

Sequence Quality

Average sequencing quality over each base of all reads.

Created with MultiQC

GC Content

Average GC content over each base of all reads.

Created with MultiQC

N content

Average N content over each base of all reads.

Created with MultiQC

BCL Convert

Demultiplexes data and converts BCL files to FASTQ file formats for downstream analysis.https://support.illumina.com/sequencing/sequencing_software/bcl-convert.html

Warning: Detected multiple bclconvert files from the same sequencer run. Files were merged and undetermined stats were recalculated.

Sample Statistics

Statistics about each sample for each flowcell

Showing ¹⁶/₁₆ rows and ⁹/₁₁ columns.

Sample Name	Clusters	Yield	Clusters/run	Yield/run	Bases ≥ Q30 (PF)	Bases ≥ Q30 (PF)	Perfect index	One mismatch index	Mean quality score	Index
52944-ND01001	1013.3M	304003.3Mb	7.7%	7.7%	293360.4Mb	96.5%	98.1%	1.9%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L3	128.0M	38396.5Mb	1.0%	1.0%	37094.8Mb	96.6%	98.0%	2.0%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L4	128.5M	38562.1Mb	1.0%	1.0%	37253.6Mb	96.6%	98.3%	1.7%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L1	128.7M	38618.0Mb	1.0%	1.0%	37402.3Mb	96.9%	97.8%	2.2%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L2	128.8M	38638.6Mb	1.0%	1.0%	37362.0Mb	96.7%	98.0%	2.0%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L6	123.2M	36955.5Mb	0.9%	0.9%	35567.4Mb	96.2%	98.1%	1.9%	39.2	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L8	124.5M	37352.0Mb	1.0%	0.9%	35982.4Mb	96.3%	98.0%	2.0%	39.2	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L5	127.7M	38317.7Mb	1.0%	1.0%	36942.0Mb	96.4%	98.2%	1.8%	39.3	GCAAGATC-AGTCGAAG
↳ 52944-ND01001 - L7	123.9M	37162.9Mb	0.9%	0.9%	35755.8Mb	96.2%	98.0%	2.0%	39.2	GCAAGATC-AGTCGAAG
52944-ND01001_2	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L3	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L4	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L1	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L2	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L6	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L8	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L5	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
↳ 52944-ND01001_2 - L7	0.0M	0.0Mb	0.0%		0.0Mb					AGAGTAGC-AAGGCGTA
52949-ND0659	848.8M	254641.9Mb	6.5%	6.4%	245812.5Mb	96.5%	97.7%	2.3%	39.3	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L3	106.1M	31819.8Mb	0.8%	0.8%	30750.0Mb	96.6%	97.6%	2.4%	39.3	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L4	106.8M	32032.2Mb	0.8%	0.8%	30958.4Mb	96.6%	97.9%	2.1%	39.3	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L1	108.0M	32406.6Mb	0.8%	0.8%	31395.3Mb	96.9%	97.5%	2.5%	39.4	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L2	109.2M	32764.5Mb	0.8%	0.8%	31692.8Mb	96.7%	97.6%	2.4%	39.3	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L6	103.0M	30890.8Mb	0.8%	0.8%	29738.5Mb	96.3%	97.8%	2.2%	39.2	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L8	104.0M	31209.8Mb	0.8%	0.8%	30076.4Mb	96.4%	97.7%	2.3%	39.2	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L5	107.7M	32295.8Mb	0.8%	0.8%	31149.7Mb	96.5%	97.8%	2.2%	39.3	GCTATCCT-AACAGGTG
↳ 52949-ND0659 - L7	104.1M	31222.4Mb	0.8%	0.8%	30051.4Mb	96.2%	97.6%	2.4%	39.2	GCTATCCT-AACAGGTG
52949-ND0659_2	968.1M	290440.5Mb	7.4%	7.3%	280382.7Mb	96.5%	97.8%	2.2%	39.3	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L3	121.2M	36363.2Mb	0.9%	0.9%	35142.4Mb	96.6%	97.8%	2.2%	39.3	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L4	121.2M	36346.2Mb	0.9%	0.9%	35128.2Mb	96.6%	98.1%	1.9%	39.3	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L1	122.0M	36599.3Mb	0.9%	0.9%	35459.9Mb	96.9%	97.5%	2.5%	39.4	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L2	121.7M	36508.7Mb	0.9%	0.9%	35318.3Mb	96.7%	97.7%	2.3%	39.3	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L6	120.2M	36051.3Mb	0.9%	0.9%	34712.2Mb	96.3%	98.0%	2.0%	39.2	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L8	120.9M	36263.3Mb	0.9%	0.9%	34947.0Mb	96.4%	97.9%	2.1%	39.2	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L5	120.6M	36166.6Mb	0.9%	0.9%	34884.1Mb	96.5%	97.9%	2.1%	39.3	ATCCAGAG-TAACGTCG
↳ 52949-ND0659_2 - L7	120.5M	36142.0Mb	0.9%	0.9%	34790.8Mb	96.3%	97.7%	2.3%	39.2	ATCCAGAG-TAACGTCG
54158-06	916.0M	274813.8Mb	7.0%	7.0%	263663.7Mb	95.9%	96.8%	3.2%	39.2	ATCGATCG-TGGAAGCA
↳ 54158-06 - L3	115.6M	34684.2Mb	0.9%	0.9%	33318.7Mb	96.1%	96.9%	3.1%	39.2	ATCGATCG-TGGAAGCA
↳ 54158-06 - L4	116.6M	34967.2Mb	0.9%	0.9%	33576.4Mb	96.0%	97.2%	2.8%	39.2	ATCGATCG-TGGAAGCA
↳ 54158-06 - L1	117.6M	35289.0Mb	0.9%	0.9%	34007.9Mb	96.4%	95.9%	4.1%	39.3	ATCGATCG-TGGAAGCA
↳ 54158-06 - L2	117.3M	35181.2Mb	0.9%	0.9%	33828.5Mb	96.2%	96.4%	3.6%	39.2	ATCGATCG-TGGAAGCA
↳ 54158-06 - L6	110.5M	33138.3Mb	0.8%	0.8%	31707.9Mb	95.7%	97.2%	2.8%	39.1	ATCGATCG-TGGAAGCA
↳ 54158-06 - L8	111.8M	33525.4Mb	0.9%	0.8%	32118.5Mb	95.8%	96.9%	3.1%	39.1	ATCGATCG-TGGAAGCA
↳ 54158-06 - L5	115.8M	34731.6Mb	0.9%	0.9%	33262.4Mb	95.8%	97.3%	2.7%	39.1	ATCGATCG-TGGAAGCA
↳ 54158-06 - L7	111.0M	33297.0Mb	0.8%	0.8%	31843.4Mb	95.6%	96.8%	3.2%	39.1	ATCGATCG-TGGAAGCA
54158-06_2	786.9M	236078.4Mb	6.0%	6.0%	226578.1Mb	96.0%	83.9%	16.1%	39.2	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L3	98.5M	29536.6Mb	0.8%	0.7%	28383.0Mb	96.1%	85.0%	15.0%	39.2	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L4	99.2M	29748.0Mb	0.8%	0.8%	28575.3Mb	96.1%	82.7%	17.3%	39.2	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L1	101.7M	30514.2Mb	0.8%	0.8%	29414.3Mb	96.4%	83.9%	16.1%	39.3	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L2	101.6M	30477.9Mb	0.8%	0.8%	29314.5Mb	96.2%	83.9%	16.1%	39.2	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L6	94.9M	28465.0Mb	0.7%	0.7%	27245.6Mb	95.7%	85.0%	15.0%	39.1	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L8	95.4M	28610.9Mb	0.7%	0.7%	27422.4Mb	95.8%	84.2%	15.8%	39.1	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L5	100.2M	30064.4Mb	0.8%	0.8%	28803.7Mb	95.8%	83.2%	16.8%	39.1	TGGACTCT-TCTTACGG
↳ 54158-06_2 - L7	95.5M	28661.3Mb	0.7%	0.7%	27419.3Mb	95.7%	83.6%	16.4%	39.1	TGGACTCT-TCTTACGG
54158-12_2	237.2M	71173.5Mb	1.8%	1.8%	67542.7Mb	94.9%	91.6%	8.4%	39.0	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L3	29.8M	8934.3Mb	0.2%	0.2%	8491.7Mb	95.0%	91.6%	8.4%	39.0	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L4	30.0M	9003.0Mb	0.2%	0.2%	8547.3Mb	94.9%	91.4%	8.6%	39.0	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L1	30.8M	9248.3Mb	0.2%	0.2%	8827.2Mb	95.4%	91.9%	8.1%	39.1	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L2	30.8M	9248.1Mb	0.2%	0.2%	8796.4Mb	95.1%	92.0%	8.0%	39.0	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L6	28.3M	8498.5Mb	0.2%	0.2%	8043.1Mb	94.6%	91.3%	8.7%	38.9	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L8	28.6M	8575.5Mb	0.2%	0.2%	8131.0Mb	94.8%	91.8%	8.2%	38.9	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L5	30.4M	9115.3Mb	0.2%	0.2%	8622.4Mb	94.6%	91.7%	8.3%	38.9	TACGCTAC-CGTGTGAT
↳ 54158-12_2 - L7	28.5M	8550.6Mb	0.2%	0.2%	8083.6Mb	94.5%	91.3%	8.7%	38.9	TACGCTAC-CGTGTGAT
54158-12t	50.5M	15159.4Mb	0.4%	0.4%	14419.2Mb	95.1%	95.3%	4.7%	39.0	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L3	6.3M	1902.6Mb	0.0%	0.0%	1812.5Mb	95.3%	95.0%	5.0%	39.0	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L4	6.4M	1916.2Mb	0.0%	0.0%	1823.6Mb	95.2%	94.9%	5.1%	39.0	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L1	6.6M	1970.1Mb	0.1%	0.0%	1884.4Mb	95.6%	95.2%	4.8%	39.1	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L2	6.6M	1966.9Mb	0.1%	0.0%	1874.6Mb	95.3%	95.3%	4.7%	39.0	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L6	6.0M	1810.8Mb	0.0%	0.0%	1717.9Mb	94.9%	95.6%	4.4%	38.9	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L8	6.0M	1812.8Mb	0.0%	0.0%	1722.8Mb	95.0%	95.7%	4.3%	39.0	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L5	6.5M	1959.4Mb	0.0%	0.0%	1858.1Mb	94.8%	95.2%	4.8%	38.9	CGGCTAAT-CTCGTTCT
↳ 54158-12t - L7	6.1M	1820.6Mb	0.0%	0.0%	1725.4Mb	94.8%	95.3%	4.7%	38.9	CGGCTAAT-CTCGTTCT
A2	1145.3M	343589.3Mb	8.7%	8.7%	330885.4Mb	96.3%	83.7%	16.3%	39.2	CGCATGAT-AAGCCTGA
↳ A2 - L3	142.7M	42801.6Mb	1.1%	1.1%	41266.7Mb	96.4%	81.4%	18.6%	39.3	CGCATGAT-AAGCCTGA
↳ A2 - L4	143.5M	43044.5Mb	1.1%	1.1%	41498.8Mb	96.4%	78.2%	21.8%	39.3	CGCATGAT-AAGCCTGA
↳ A2 - L1	145.9M	43763.1Mb	1.1%	1.1%	42307.4Mb	96.7%	84.8%	15.2%	39.3	CGCATGAT-AAGCCTGA
↳ A2 - L2	146.6M	43988.8Mb	1.1%	1.1%	42450.2Mb	96.5%	87.4%	12.6%	39.3	CGCATGAT-AAGCCTGA
↳ A2 - L6	140.2M	42053.4Mb	1.1%	1.1%	40390.1Mb	96.0%	82.4%	17.6%	39.2	CGCATGAT-AAGCCTGA
↳ A2 - L8	141.8M	42528.4Mb	1.1%	1.1%	40888.9Mb	96.1%	86.5%	13.5%	39.2	CGCATGAT-AAGCCTGA
↳ A2 - L5	143.5M	43045.4Mb	1.1%	1.1%	41407.8Mb	96.2%	84.1%	15.9%	39.2	CGCATGAT-AAGCCTGA
↳ A2 - L7	141.2M	42364.2Mb	1.1%	1.1%	40675.5Mb	96.0%	84.3%	15.7%	39.2	CGCATGAT-AAGCCTGA
B1	835.1M	250537.6Mb	6.4%	6.3%	241338.2Mb	96.3%	98.0%	2.0%	39.2	CTGATCGT-GCGCATAT
↳ B1 - L3	103.3M	30977.6Mb	0.8%	0.8%	29873.1Mb	96.4%	98.0%	2.0%	39.3	CTGATCGT-GCGCATAT
↳ B1 - L4	103.1M	30937.9Mb	0.8%	0.8%	29838.8Mb	96.4%	98.2%	1.8%	39.3	CTGATCGT-GCGCATAT
↳ B1 - L1	105.2M	31563.9Mb	0.8%	0.8%	30521.6Mb	96.7%	97.1%	2.9%	39.3	CTGATCGT-GCGCATAT
↳ B1 - L2	106.1M	31833.4Mb	0.8%	0.8%	30731.9Mb	96.5%	97.8%	2.2%	39.3	CTGATCGT-GCGCATAT
↳ B1 - L6	104.0M	31206.6Mb	0.8%	0.8%	29976.8Mb	96.1%	98.4%	1.6%	39.2	CTGATCGT-GCGCATAT
↳ B1 - L8	104.7M	31415.6Mb	0.8%	0.8%	30207.2Mb	96.2%	98.1%	1.9%	39.2	CTGATCGT-GCGCATAT
↳ B1 - L5	104.2M	31250.5Mb	0.8%	0.8%	30077.8Mb	96.2%	98.3%	1.7%	39.2	CTGATCGT-GCGCATAT
↳ B1 - L7	104.5M	31352.1Mb	0.8%	0.8%	30111.0Mb	96.0%	98.1%	1.9%	39.2	CTGATCGT-GCGCATAT
C1	1048.0M	314397.9Mb	8.0%	8.0%	304305.0Mb	96.8%	95.1%	4.9%	39.3	ACTCTCGA-CTGTACCA
↳ C1 - L3	129.8M	38930.5Mb	1.0%	1.0%	37718.8Mb	96.9%	95.7%	4.3%	39.4	ACTCTCGA-CTGTACCA
↳ C1 - L4	129.0M	38704.0Mb	1.0%	1.0%	37521.2Mb	96.9%	93.9%	6.1%	39.4	ACTCTCGA-CTGTACCA
↳ C1 - L1	130.9M	39259.5Mb	1.0%	1.0%	38126.1Mb	97.1%	95.1%	4.9%	39.4	ACTCTCGA-CTGTACCA
↳ C1 - L2	131.3M	39385.5Mb	1.0%	1.0%	38205.9Mb	97.0%	94.8%	5.2%	39.4	ACTCTCGA-CTGTACCA
↳ C1 - L6	132.1M	39642.8Mb	1.0%	1.0%	38257.2Mb	96.5%	95.8%	4.2%	39.3	ACTCTCGA-CTGTACCA
↳ C1 - L8	132.2M	39651.6Mb	1.0%	1.0%	38297.4Mb	96.6%	95.7%	4.3%	39.3	ACTCTCGA-CTGTACCA
↳ C1 - L5	130.1M	39043.1Mb	1.0%	1.0%	37787.0Mb	96.8%	94.5%	5.5%	39.3	ACTCTCGA-CTGTACCA
↳ C1 - L7	132.6M	39780.8Mb	1.0%	1.0%	38391.4Mb	96.5%	95.2%	4.8%	39.3	ACTCTCGA-CTGTACCA
E1	1038.2M	311457.3Mb	7.9%	7.9%	299052.7Mb	96.0%	98.3%	1.7%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L3	131.0M	39290.8Mb	1.0%	1.0%	37771.8Mb	96.1%	98.2%	1.8%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L4	131.5M	39463.8Mb	1.0%	1.0%	37921.9Mb	96.1%	98.6%	1.4%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L1	132.2M	39663.9Mb	1.0%	1.0%	38244.9Mb	96.4%	97.8%	2.2%	39.3	TGAGCTAG-GAACGGTT
↳ E1 - L2	131.3M	39379.9Mb	1.0%	1.0%	37890.1Mb	96.2%	98.1%	1.9%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L6	126.9M	38077.5Mb	1.0%	1.0%	36468.9Mb	95.8%	98.5%	1.5%	39.1	TGAGCTAG-GAACGGTT
↳ E1 - L8	127.9M	38374.2Mb	1.0%	1.0%	36797.1Mb	95.9%	98.3%	1.7%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L5	130.1M	39020.6Mb	1.0%	1.0%	37404.5Mb	95.9%	98.5%	1.5%	39.2	TGAGCTAG-GAACGGTT
↳ E1 - L7	127.3M	38186.7Mb	1.0%	1.0%	36553.4Mb	95.7%	98.2%	1.8%	39.1	TGAGCTAG-GAACGGTT
F1	1207.6M	362280.7Mb	9.2%	9.2%	349767.6Mb	96.5%	97.2%	2.8%	39.3	GAGACGAT-ACCGGTTA
↳ F1 - L3	149.6M	44884.6Mb	1.1%	1.1%	43380.7Mb	96.6%	97.2%	2.8%	39.3	GAGACGAT-ACCGGTTA
↳ F1 - L4	149.1M	44744.8Mb	1.1%	1.1%	43256.0Mb	96.7%	97.4%	2.6%	39.3	GAGACGAT-ACCGGTTA
↳ F1 - L1	152.4M	45708.9Mb	1.2%	1.2%	44293.6Mb	96.9%	97.1%	2.9%	39.4	GAGACGAT-ACCGGTTA
↳ F1 - L2	152.9M	45874.1Mb	1.2%	1.2%	44381.4Mb	96.7%	97.2%	2.8%	39.3	GAGACGAT-ACCGGTTA
↳ F1 - L6	150.7M	45219.4Mb	1.2%	1.1%	43537.7Mb	96.3%	97.2%	2.8%	39.2	GAGACGAT-ACCGGTTA
↳ F1 - L8	151.0M	45300.1Mb	1.2%	1.1%	43659.4Mb	96.4%	97.0%	3.0%	39.2	GAGACGAT-ACCGGTTA
↳ F1 - L5	150.6M	45190.5Mb	1.2%	1.1%	43596.7Mb	96.5%	97.2%	2.8%	39.3	GAGACGAT-ACCGGTTA
↳ F1 - L7	151.2M	45358.2Mb	1.2%	1.1%	43662.0Mb	96.3%	97.0%	3.0%	39.2	GAGACGAT-ACCGGTTA
G1	949.7M	284913.9Mb	7.3%	7.2%	274773.7Mb	96.4%	98.3%	1.7%	39.3	CTTGTCGA-CGATGTTC
↳ G1 - L3	116.7M	35014.7Mb	0.9%	0.9%	33805.6Mb	96.5%	98.2%	1.8%	39.3	CTTGTCGA-CGATGTTC
↳ G1 - L4	115.8M	34744.9Mb	0.9%	0.9%	33546.9Mb	96.6%	98.5%	1.5%	39.3	CTTGTCGA-CGATGTTC
↳ G1 - L1	120.1M	36016.2Mb	0.9%	0.9%	34869.4Mb	96.8%	97.7%	2.3%	39.3	CTTGTCGA-CGATGTTC
↳ G1 - L2	120.4M	36107.3Mb	0.9%	0.9%	34900.4Mb	96.7%	98.2%	1.8%	39.3	CTTGTCGA-CGATGTTC
↳ G1 - L6	119.2M	35772.7Mb	0.9%	0.9%	34405.5Mb	96.2%	98.5%	1.5%	39.2	CTTGTCGA-CGATGTTC
↳ G1 - L8	119.5M	35853.6Mb	0.9%	0.9%	34517.2Mb	96.3%	98.3%	1.7%	39.2	CTTGTCGA-CGATGTTC
↳ G1 - L5	118.4M	35508.7Mb	0.9%	0.9%	34213.9Mb	96.4%	98.5%	1.5%	39.2	CTTGTCGA-CGATGTTC
↳ G1 - L7	119.7M	35895.9Mb	0.9%	0.9%	34514.9Mb	96.2%	98.4%	1.6%	39.2	CTTGTCGA-CGATGTTC
G2	1015.3M	304597.4Mb	7.8%	7.7%	294802.1Mb	96.8%	98.5%	1.5%	39.3	ACGGAACA-ACGAGAAC
↳ G2 - L3	127.0M	38099.3Mb	1.0%	1.0%	36910.5Mb	96.9%	98.5%	1.5%	39.4	ACGGAACA-ACGAGAAC
↳ G2 - L4	127.3M	38197.5Mb	1.0%	1.0%	37019.6Mb	96.9%	98.7%	1.3%	39.4	ACGGAACA-ACGAGAAC
↳ G2 - L1	128.4M	38524.1Mb	1.0%	1.0%	37407.7Mb	97.1%	98.1%	1.9%	39.4	ACGGAACA-ACGAGAAC
↳ G2 - L2	128.6M	38569.5Mb	1.0%	1.0%	37405.7Mb	97.0%	98.4%	1.6%	39.4	ACGGAACA-ACGAGAAC
↳ G2 - L6	125.0M	37510.9Mb	1.0%	0.9%	36205.2Mb	96.5%	98.7%	1.3%	39.3	ACGGAACA-ACGAGAAC
↳ G2 - L8	125.8M	37740.9Mb	1.0%	1.0%	36456.8Mb	96.6%	98.5%	1.5%	39.3	ACGGAACA-ACGAGAAC
↳ G2 - L5	127.3M	38184.5Mb	1.0%	1.0%	36942.7Mb	96.7%	98.6%	1.4%	39.3	ACGGAACA-ACGAGAAC
↳ G2 - L7	125.9M	37770.7Mb	1.0%	1.0%	36453.8Mb	96.5%	98.5%	1.5%	39.3	ACGGAACA-ACGAGAAC
H1	1030.5M	309150.8Mb	7.9%	7.8%	299203.9Mb	96.8%	98.3%	1.7%	39.3	TTCCAAGG-CTACAAGG
↳ H1 - L3	129.0M	38686.1Mb	1.0%	1.0%	37479.2Mb	96.9%	98.2%	1.8%	39.3	TTCCAAGG-CTACAAGG
↳ H1 - L4	128.8M	38648.5Mb	1.0%	1.0%	37459.7Mb	96.9%	98.5%	1.5%	39.4	TTCCAAGG-CTACAAGG
↳ H1 - L1	129.2M	38755.9Mb	1.0%	1.0%	37631.1Mb	97.1%	98.1%	1.9%	39.4	TTCCAAGG-CTACAAGG
↳ H1 - L2	129.1M	38718.5Mb	1.0%	1.0%	37551.8Mb	97.0%	98.3%	1.7%	39.4	TTCCAAGG-CTACAAGG
↳ H1 - L6	128.7M	38600.8Mb	1.0%	1.0%	37253.5Mb	96.5%	98.4%	1.6%	39.3	TTCCAAGG-CTACAAGG
↳ H1 - L8	129.2M	38746.6Mb	1.0%	1.0%	37424.6Mb	96.6%	98.2%	1.8%	39.3	TTCCAAGG-CTACAAGG
↳ H1 - L5	127.6M	38293.3Mb	1.0%	1.0%	37053.0Mb	96.8%	98.5%	1.5%	39.3	TTCCAAGG-CTACAAGG
↳ H1 - L7	129.0M	38701.2Mb	1.0%	1.0%	37351.0Mb	96.5%	98.2%	1.8%	39.3	TTCCAAGG-CTACAAGG

Expand table

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: bclconvert-sample-stats-table_table

Sort	Column	Description	ID	Scale
\|\|	Clusters	Total number of clusters (read pairs) for this sample as determined by bclconvert demultiplexing (millions)	`bclconvert-clusters`	read_count
\|\|	Yield	Total number of bases for this sample as determined by bclconvert demultiplexing (millions)	`bclconvert-yield`	base_count
\|\|	Clusters/run	Percentage of clusters (read pairs) for this sample in this run, as determined by bclconvert demultiplexing	`bclconvert-percent_clusters`
\|\|	Yield/run	Percentage of sequenced bases for this sample in this run	`bclconvert-percent_yield`
\|\|	Bases ≥ Q30 (PF)	Number of bases with a Phred score of 30 or higher, passing filter (millions)	`bclconvert-yield_q30`	base_count
\|\|	Bases ≥ Q30 (PF)	Percent of bases with a Phred score of 30 or higher, passing filter (millions)	`bclconvert-percent_yield_q30`
\|\|	Perfect index	Percent of reads with perfect index (0 mismatches)	`bclconvert-percent_perfect_index_reads`
\|\|	One mismatch index	Percent of reads with one mismatch index	`bclconvert-percent_one_mismatch_index_reads`
\|\|	Mean quality score	Mean quality score of bases	`bclconvert-mean_quality`
\|\|	Index	Sample index	`bclconvert-index`
\|\|	Project	Sample project	`bclconvert-sample_project`

Lane Statistics

Statistics about each lane for each flowcell

Showing ⁸/₈ rows and ⁸/₈ columns.

Run ID - Lane	Clusters	Yield	Bases ≥ Q30 (PF)	Perfect index	One mismatch	Perfect index	One mismatch	Mean quality score
L1	1659.7M	497901.1Mb	96.8%	1580.3M	79.3M	95.2%	4.8%	39.3
↳ L1 - B1	105.2M	31563.9Mb	96.7%	102.1M	3.1M	97.1%	2.9%	39.3
↳ L1 - C1	130.9M	39259.5Mb	97.1%	124.4M	6.4M	95.1%	4.9%	39.4
↳ L1 - E1	132.2M	39663.9Mb	96.4%	129.4M	2.9M	97.8%	2.2%	39.3
↳ L1 - F1	152.4M	45708.9Mb	96.9%	147.9M	4.4M	97.1%	2.9%	39.4
↳ L1 - G1	120.1M	36016.2Mb	96.8%	117.3M	2.8M	97.7%	2.3%	39.3
↳ L1 - H1	129.2M	38755.9Mb	97.1%	126.7M	2.5M	98.1%	1.9%	39.4
↳ L1 - A2	145.9M	43763.1Mb	96.7%	123.6M	22.2M	84.8%	15.2%	39.3
↳ L1 - G2	128.4M	38524.1Mb	97.1%	125.9M	2.5M	98.1%	1.9%	39.4
↳ L1 - 54158-12t	6.6M	1970.1Mb	95.6%	6.3M	0.3M	95.2%	4.8%	39.1
↳ L1 - 54158-06	117.6M	35289.0Mb	96.4%	112.8M	4.8M	95.9%	4.1%	39.3
↳ L1 - 52944-ND01001	128.7M	38618.0Mb	96.9%	125.9M	2.8M	97.8%	2.2%	39.3
↳ L1 - 52949-ND0659	108.0M	32406.6Mb	96.9%	105.3M	2.7M	97.5%	2.5%	39.4
↳ L1 - 54158-12_2	30.8M	9248.3Mb	95.4%	28.3M	2.5M	91.9%	8.1%	39.1
↳ L1 - 54158-06_2	101.7M	30514.2Mb	96.4%	85.3M	16.4M	83.9%	16.1%	39.3
↳ L1 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L1 - 52949-ND0659_2	122.0M	36599.3Mb	96.9%	119.0M	3.0M	97.5%	2.5%	39.4
L2	1662.1M	498642.9Mb	96.6%	1590.1M	72.1M	95.7%	4.3%	39.3
↳ L2 - B1	106.1M	31833.4Mb	96.5%	103.7M	2.4M	97.8%	2.2%	39.3
↳ L2 - C1	131.3M	39385.5Mb	97.0%	124.5M	6.8M	94.8%	5.2%	39.4
↳ L2 - E1	131.3M	39379.9Mb	96.2%	128.8M	2.5M	98.1%	1.9%	39.2
↳ L2 - F1	152.9M	45874.1Mb	96.7%	148.7M	4.2M	97.2%	2.8%	39.3
↳ L2 - G1	120.4M	36107.3Mb	96.7%	118.1M	2.2M	98.2%	1.8%	39.3
↳ L2 - H1	129.1M	38718.5Mb	97.0%	126.9M	2.2M	98.3%	1.7%	39.4
↳ L2 - A2	146.6M	43988.8Mb	96.5%	128.1M	18.5M	87.4%	12.6%	39.3
↳ L2 - G2	128.6M	38569.5Mb	97.0%	126.5M	2.1M	98.4%	1.6%	39.4
↳ L2 - 54158-12t	6.6M	1966.9Mb	95.3%	6.3M	0.3M	95.3%	4.7%	39.0
↳ L2 - 54158-06	117.3M	35181.2Mb	96.2%	113.1M	4.2M	96.4%	3.6%	39.2
↳ L2 - 52944-ND01001	128.8M	38638.6Mb	96.7%	126.2M	2.6M	98.0%	2.0%	39.3
↳ L2 - 52949-ND0659	109.2M	32764.5Mb	96.7%	106.6M	2.6M	97.6%	2.4%	39.3
↳ L2 - 54158-12_2	30.8M	9248.1Mb	95.1%	28.4M	2.5M	92.0%	8.0%	39.0
↳ L2 - 54158-06_2	101.6M	30477.9Mb	96.2%	85.2M	16.4M	83.9%	16.1%	39.2
↳ L2 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L2 - 52949-ND0659_2	121.7M	36508.7Mb	96.7%	118.9M	2.7M	97.7%	2.3%	39.3
L3	1634.4M	490322.4Mb	96.5%	1558.0M	76.4M	95.3%	4.7%	39.3
↳ L3 - B1	103.3M	30977.6Mb	96.4%	101.2M	2.1M	98.0%	2.0%	39.3
↳ L3 - C1	129.8M	38930.5Mb	96.9%	124.1M	5.6M	95.7%	4.3%	39.4
↳ L3 - E1	131.0M	39290.8Mb	96.1%	128.6M	2.4M	98.2%	1.8%	39.2
↳ L3 - F1	149.6M	44884.6Mb	96.6%	145.4M	4.2M	97.2%	2.8%	39.3
↳ L3 - G1	116.7M	35014.7Mb	96.5%	114.7M	2.1M	98.2%	1.8%	39.3
↳ L3 - H1	129.0M	38686.1Mb	96.9%	126.6M	2.4M	98.2%	1.8%	39.3
↳ L3 - A2	142.7M	42801.6Mb	96.4%	116.1M	26.6M	81.4%	18.6%	39.3
↳ L3 - G2	127.0M	38099.3Mb	96.9%	125.0M	2.0M	98.5%	1.5%	39.4
↳ L3 - 54158-12t	6.3M	1902.6Mb	95.3%	6.0M	0.3M	95.0%	5.0%	39.0
↳ L3 - 54158-06	115.6M	34684.2Mb	96.1%	112.0M	3.6M	96.9%	3.1%	39.2
↳ L3 - 52944-ND01001	128.0M	38396.5Mb	96.6%	125.4M	2.6M	98.0%	2.0%	39.3
↳ L3 - 52949-ND0659	106.1M	31819.8Mb	96.6%	103.5M	2.6M	97.6%	2.4%	39.3
↳ L3 - 54158-12_2	29.8M	8934.3Mb	95.0%	27.3M	2.5M	91.6%	8.4%	39.0
↳ L3 - 54158-06_2	98.5M	29536.6Mb	96.1%	83.6M	14.8M	85.0%	15.0%	39.2
↳ L3 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L3 - 52949-ND0659_2	121.2M	36363.2Mb	96.6%	118.5M	2.7M	97.8%	2.2%	39.3
L4	1636.9M	491060.7Mb	96.5%	1554.8M	82.0M	95.0%	5.0%	39.3
↳ L4 - B1	103.1M	30937.9Mb	96.4%	101.3M	1.8M	98.2%	1.8%	39.3
↳ L4 - C1	129.0M	38704.0Mb	96.9%	121.1M	7.9M	93.9%	6.1%	39.4
↳ L4 - E1	131.5M	39463.8Mb	96.1%	129.6M	1.9M	98.6%	1.4%	39.2
↳ L4 - F1	149.1M	44744.8Mb	96.7%	145.3M	3.9M	97.4%	2.6%	39.3
↳ L4 - G1	115.8M	34744.9Mb	96.6%	114.1M	1.8M	98.5%	1.5%	39.3
↳ L4 - H1	128.8M	38648.5Mb	96.9%	127.0M	1.9M	98.5%	1.5%	39.4
↳ L4 - A2	143.5M	43044.5Mb	96.4%	112.3M	31.2M	78.2%	21.8%	39.3
↳ L4 - G2	127.3M	38197.5Mb	96.9%	125.7M	1.6M	98.7%	1.3%	39.4
↳ L4 - 54158-12t	6.4M	1916.2Mb	95.2%	6.1M	0.3M	94.9%	5.1%	39.0
↳ L4 - 54158-06	116.6M	34967.2Mb	96.0%	113.3M	3.3M	97.2%	2.8%	39.2
↳ L4 - 52944-ND01001	128.5M	38562.1Mb	96.6%	126.4M	2.1M	98.3%	1.7%	39.3
↳ L4 - 52949-ND0659	106.8M	32032.2Mb	96.6%	104.5M	2.3M	97.9%	2.1%	39.3
↳ L4 - 54158-12_2	30.0M	9003.0Mb	94.9%	27.4M	2.6M	91.4%	8.6%	39.0
↳ L4 - 54158-06_2	99.2M	29748.0Mb	96.1%	82.0M	17.2M	82.7%	17.3%	39.2
↳ L4 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L4 - 52949-ND0659_2	121.2M	36346.2Mb	96.6%	118.8M	2.3M	98.1%	1.9%	39.3
L5	1640.6M	492187.4Mb	96.3%	1567.2M	73.4M	95.5%	4.5%	39.2
↳ L5 - B1	104.2M	31250.5Mb	96.2%	102.4M	1.8M	98.3%	1.7%	39.2
↳ L5 - C1	130.1M	39043.1Mb	96.8%	122.9M	7.2M	94.5%	5.5%	39.3
↳ L5 - E1	130.1M	39020.6Mb	95.9%	128.1M	2.0M	98.5%	1.5%	39.2
↳ L5 - F1	150.6M	45190.5Mb	96.5%	146.5M	4.2M	97.2%	2.8%	39.3
↳ L5 - G1	118.4M	35508.7Mb	96.4%	116.6M	1.8M	98.5%	1.5%	39.2
↳ L5 - H1	127.6M	38293.3Mb	96.8%	125.7M	2.0M	98.5%	1.5%	39.3
↳ L5 - A2	143.5M	43045.4Mb	96.2%	120.7M	22.8M	84.1%	15.9%	39.2
↳ L5 - G2	127.3M	38184.5Mb	96.7%	125.5M	1.8M	98.6%	1.4%	39.3
↳ L5 - 54158-12t	6.5M	1959.4Mb	94.8%	6.2M	0.3M	95.2%	4.8%	38.9
↳ L5 - 54158-06	115.8M	34731.6Mb	95.8%	112.6M	3.2M	97.3%	2.7%	39.1
↳ L5 - 52944-ND01001	127.7M	38317.7Mb	96.4%	125.5M	2.3M	98.2%	1.8%	39.3
↳ L5 - 52949-ND0659	107.7M	32295.8Mb	96.5%	105.2M	2.4M	97.8%	2.2%	39.3
↳ L5 - 54158-12_2	30.4M	9115.3Mb	94.6%	27.9M	2.5M	91.7%	8.3%	38.9
↳ L5 - 54158-06_2	100.2M	30064.4Mb	95.8%	83.4M	16.8M	83.2%	16.8%	39.1
↳ L5 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L5 - 52949-ND0659_2	120.6M	36166.6Mb	96.5%	118.1M	2.5M	97.9%	2.1%	39.3
L6	1613.0M	483894.2Mb	96.1%	1542.5M	70.5M	95.6%	4.4%	39.2
↳ L6 - B1	104.0M	31206.6Mb	96.1%	102.3M	1.7M	98.4%	1.6%	39.2
↳ L6 - C1	132.1M	39642.8Mb	96.5%	126.7M	5.5M	95.8%	4.2%	39.3
↳ L6 - E1	126.9M	38077.5Mb	95.8%	125.0M	1.9M	98.5%	1.5%	39.1
↳ L6 - F1	150.7M	45219.4Mb	96.3%	146.5M	4.2M	97.2%	2.8%	39.2
↳ L6 - G1	119.2M	35772.7Mb	96.2%	117.5M	1.8M	98.5%	1.5%	39.2
↳ L6 - H1	128.7M	38600.8Mb	96.5%	126.5M	2.1M	98.4%	1.6%	39.3
↳ L6 - A2	140.2M	42053.4Mb	96.0%	115.5M	24.6M	82.4%	17.6%	39.2
↳ L6 - G2	125.0M	37510.9Mb	96.5%	123.4M	1.6M	98.7%	1.3%	39.3
↳ L6 - 54158-12t	6.0M	1810.8Mb	94.9%	5.8M	0.3M	95.6%	4.4%	38.9
↳ L6 - 54158-06	110.5M	33138.3Mb	95.7%	107.3M	3.1M	97.2%	2.8%	39.1
↳ L6 - 52944-ND01001	123.2M	36955.5Mb	96.2%	120.9M	2.3M	98.1%	1.9%	39.2
↳ L6 - 52949-ND0659	103.0M	30890.8Mb	96.3%	100.7M	2.3M	97.8%	2.2%	39.2
↳ L6 - 54158-12_2	28.3M	8498.5Mb	94.6%	25.9M	2.5M	91.3%	8.7%	38.9
↳ L6 - 54158-06_2	94.9M	28465.0Mb	95.7%	80.7M	14.2M	85.0%	15.0%	39.1
↳ L6 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L6 - 52949-ND0659_2	120.2M	36051.3Mb	96.3%	117.7M	2.4M	98.0%	2.0%	39.2
L7	1620.9M	486266.7Mb	96.1%	1547.5M	73.4M	95.5%	4.5%	39.2
↳ L7 - B1	104.5M	31352.1Mb	96.0%	102.5M	2.0M	98.1%	1.9%	39.2
↳ L7 - C1	132.6M	39780.8Mb	96.5%	126.2M	6.4M	95.2%	4.8%	39.3
↳ L7 - E1	127.3M	38186.7Mb	95.7%	125.0M	2.2M	98.2%	1.8%	39.1
↳ L7 - F1	151.2M	45358.2Mb	96.3%	146.6M	4.6M	97.0%	3.0%	39.2
↳ L7 - G1	119.7M	35895.9Mb	96.2%	117.7M	2.0M	98.4%	1.6%	39.2
↳ L7 - H1	129.0M	38701.2Mb	96.5%	126.7M	2.3M	98.2%	1.8%	39.3
↳ L7 - A2	141.2M	42364.2Mb	96.0%	119.1M	22.1M	84.3%	15.7%	39.2
↳ L7 - G2	125.9M	37770.7Mb	96.5%	124.0M	1.9M	98.5%	1.5%	39.3
↳ L7 - 54158-12t	6.1M	1820.6Mb	94.8%	5.8M	0.3M	95.3%	4.7%	38.9
↳ L7 - 54158-06	111.0M	33297.0Mb	95.6%	107.4M	3.6M	96.8%	3.2%	39.1
↳ L7 - 52944-ND01001	123.9M	37162.9Mb	96.2%	121.4M	2.5M	98.0%	2.0%	39.2
↳ L7 - 52949-ND0659	104.1M	31222.4Mb	96.2%	101.5M	2.5M	97.6%	2.4%	39.2
↳ L7 - 54158-12_2	28.5M	8550.6Mb	94.5%	26.0M	2.5M	91.3%	8.7%	38.9
↳ L7 - 54158-06_2	95.5M	28661.3Mb	95.7%	79.9M	15.7M	83.6%	16.4%	39.1
↳ L7 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L7 - 52949-ND0659_2	120.5M	36142.0Mb	96.3%	117.7M	2.7M	97.7%	2.3%	39.2
L8	1623.2M	486960.6Mb	96.2%	1555.1M	68.1M	95.8%	4.2%	39.2
↳ L8 - B1	104.7M	31415.6Mb	96.2%	102.7M	2.0M	98.1%	1.9%	39.2
↳ L8 - C1	132.2M	39651.6Mb	96.6%	126.4M	5.7M	95.7%	4.3%	39.3
↳ L8 - E1	127.9M	38374.2Mb	95.9%	125.7M	2.2M	98.3%	1.7%	39.2
↳ L8 - F1	151.0M	45300.1Mb	96.4%	146.5M	4.5M	97.0%	3.0%	39.2
↳ L8 - G1	119.5M	35853.6Mb	96.3%	117.5M	2.0M	98.3%	1.7%	39.2
↳ L8 - H1	129.2M	38746.6Mb	96.6%	126.9M	2.3M	98.2%	1.8%	39.3
↳ L8 - A2	141.8M	42528.4Mb	96.1%	122.7M	19.1M	86.5%	13.5%	39.2
↳ L8 - G2	125.8M	37740.9Mb	96.6%	124.0M	1.8M	98.5%	1.5%	39.3
↳ L8 - 54158-12t	6.0M	1812.8Mb	95.0%	5.8M	0.3M	95.7%	4.3%	39.0
↳ L8 - 54158-06	111.8M	33525.4Mb	95.8%	108.3M	3.4M	96.9%	3.1%	39.1
↳ L8 - 52944-ND01001	124.5M	37352.0Mb	96.3%	122.0M	2.5M	98.0%	2.0%	39.2
↳ L8 - 52949-ND0659	104.0M	31209.8Mb	96.4%	101.6M	2.4M	97.7%	2.3%	39.2
↳ L8 - 54158-12_2	28.6M	8575.5Mb	94.8%	26.2M	2.4M	91.8%	8.2%	38.9
↳ L8 - 54158-06_2	95.4M	28610.9Mb	95.8%	80.3M	15.1M	84.2%	15.8%	39.1
↳ L8 - 52944-ND01001_2	0.0M	0.0Mb		0.0M	0.0M
↳ L8 - 52949-ND0659_2	120.9M	36263.3Mb	96.4%	118.3M	2.5M	97.9%	2.1%	39.2

Uncheck the tick box to hide columns. Click and drag the handle on the left to change order. Table ID: bclconvert-lane-stats-table_table

Sort	Column	Description	ID	Scale
\|\|	Clusters	Total number of clusters (read pairs) for this sample as determined by bclconvert demultiplexing (millions)	`bclconvert_lane-clusters`	read_count
\|\|	Yield	Total number of bases for this sample as determined by bclconvert demultiplexing (millions)	`bclconvert_lane-yield`	base_count
\|\|	Bases ≥ Q30 (PF)	Percent of bases with a Phred score of 30 or higher, passing filter	`bclconvert_lane-percent_yield_q30`
\|\|	Perfect index	Reads with perfect index - 0 mismatches (millions)	`bclconvert_lane-perfect_index_reads`	read_count
\|\|	One mismatch	Reads with one mismatch index (millions)	`bclconvert_lane-one_mismatch_index_reads`	read_count
\|\|	Perfect index	Percent of reads with perfect index - 0 mismatches	`bclconvert_lane-percent_perfect_index_reads`
\|\|	One mismatch	Percent of reads with one mismatch	`bclconvert_lane-percent_one_mismatch_index_reads`
\|\|	Mean quality score	Mean quality score of bases	`bclconvert_lane-mean_quality`

Clusters by lane

Number of reads per lane (with number of perfect index reads).

Warning: Found multiple runs from the same sequencer output. Runs were merged and Undetermined Reads were recalculated.

Perfect index reads are those that do not have a single mismatch. All samples of a lane are combined. Undetermined reads are treated as a third category.

Created with MultiQC

Clusters by sample

Number of reads per sample.

Perfect index reads are those that do not have a single mismatch. All samples are aggregated across lanes combined. Undetermined reads are ignored. Undetermined reads are treated as a separate sample.

Created with MultiQC

Undetermined barcodes

Top 40 undetermined barcodes

Created with MultiQC

Software Versions

Software Versions lists versions of software tools extracted from file contents.

Group	Software	Version
Sambamba	Sambamba	`1.0.1`
Samtools	HTSlib	`1.23`
	Samtools	`1.21`
UMI-tools	UMI-tools	`1.1.5`
fastp	fastp	`1.0.1`

20250812_LH00166_0158_A2373MHLT3 DAQ-UMI Report

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20250812_LH00166_0158_A2373MHLT3 DAQ-UMI Report

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