Open chromatin assays are known to have significant GC bias. Please take this
into consideration as necessary.
Library complexity quality metrics
Library complexity (filtered non-mito BAM)
rep1
rep2
ctl1
Total Fragments
13041131
14050931
29313407
Distinct Fragments
10809457
11485480
23106149
Positions with Two Read
1526835
1716464
3689493
NRF = Distinct/Total
0.828874
0.817418
0.788245
PBC1 = OneRead/Distinct
0.83165
0.819964
0.795744
PBC2 = OneRead/TwoRead
5.887791
5.486674
4.983498
Mitochondrial reads are filtered out by default.
The non-redundant fraction (NRF) is the fraction of non-redundant mapped reads
in a dataset; it is the ratio between the number of positions in the genome
that uniquely mapped reads map to and the total number of uniquely mappable
reads. The NRF should be > 0.8. The PBC1 is the ratio of genomic locations
with EXACTLY one read pair over the genomic locations with AT LEAST one read
pair. PBC1 is the primary measure, and the PBC1 should be close to 1.
Provisionally 0-0.5 is severe bottlenecking, 0.5-0.8 is moderate bottlenecking,
0.8-0.9 is mild bottlenecking, and 0.9-1.0 is no bottlenecking. The PBC2 is
the ratio of genomic locations with EXACTLY one read pair over the genomic
locations with EXACTLY two read pairs. The PBC2 should be significantly
greater than 1. See more details at
the ENCODE portal standard for ChIP-Seq pipeline
NRF (non redundant fraction)
PBC1 (PCR Bottleneck coefficient 1)
PBC2 (PCR Bottleneck coefficient 2)
PBC1 is the primary measure. Provisionally
0-0.5 is severe bottlenecking
0.5-0.8 is moderate bottlenecking
0.8-0.9 is mild bottlenecking
0.9-1.0 is no bottlenecking
Replication quality metrics
IDR (Irreproducible Discovery Rate) plots
Reproducibility QC and peak detection statistics
overlap
idr
Nt
29713
315
N1
16376
85
N2
15250
135
Np
27442
300
N optimal
29713
315
N conservative
29713
315
Optimal Set
rep1_vs_rep2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0827563588659719
1.05
Self Consistency Ratio
1.0738360655737704
1.588235294117647
Reproducibility Test
pass
pass
Reproducibility QC
N1: Replicate 1 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep1 reads)
N2: Replicate 2 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep2 reads)
Ni: Replicate i self-consistent peaks (comparing two pseudoreplicates generated by subsampling RepX reads)
Nt: True Replicate consistent peaks (comparing true replicates Rep1 vs Rep2)
Np: Pooled-pseudoreplicate consistent peaks (comparing two pseudoreplicates generated by subsampling pooled reads from Rep1 and Rep2)
Self-consistency Ratio: max(N1,N2) / min (N1,N2)
Rescue Ratio: max(Np,Nt) / min (Np,Nt)
Reproducibility Test: If Self-consistency Ratio >2 AND Rescue Ratio > 2, then 'Fail' else 'Pass'
Number of raw peaks
rep1
rep2
Number of peaks
61778
46865
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
157.0
226.0
121.0
121.0
25 percentile
440.0
510.0
476.0
476.0
50 percentile (median)
440.0
510.0
476.0
476.0
75 percentile
440.0
510.0
476.0
476.0
Max size
440.0
510.0
476.0
476.0
Mean
439.98047848748746
509.9773391656887
456.7809523809524
475.798438393969
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
13041131
14050931
Estimated Fragment Length
150
200
Cross-correlation at Estimated Fragment Length
0.795393264576409
0.803795062958881
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7936653
0.8026283
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7902113
0.7994643
NSC (Normalized Strand Cross-correlation coeff.)
1.006558
1.005417
RSC (Relative Strand Cross-correlation coeff.)
1.500266
1.368766
Performed on subsampled (15000000) reads mapped from FASTQs that are trimmed to 50.
Such FASTQ trimming and subsampling reads are for cross-corrleation analysis only.
Untrimmed FASTQs are used for all the other analyses.
NOTE1: For SE datasets, reads from replicates are randomly subsampled to 15000000.
NOTE2: For PE datasets, the first end (R1) of each read-pair is selected and trimmed to 50 the reads are then randomly subsampled to 15000000.
Normalized strand cross-correlation coefficient (NSC) = col9 in outFile
Relative strand cross-correlation coefficient (RSC) = col10 in outFile
Estimated fragment length = col3 in outFile, take the top value
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
AUC
0.40792048196697334
0.4089240135814194
Synthetic AUC
0.4972761564547562
0.497357865858943
X-intercept
0.02901100920363032
0.0289051514764157
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4388202256167711
0.4419779815927394
Synthetic Elbow Point
0.4991352215060732
0.5007209592910123
JS Distance
0.04236104871691808
0.0413513475362254
Synthetic JS Distance
0.1361367027513762
0.1351157169653243
% Genome Enriched
41.2561517320721
40.44164642720184
Diff. Enrichment
6.845076462840605
6.703961501148137
CHANCE Divergence
0.05816089314677737
0.056979369999546774
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for spp raw peaks
rep1
rep2
rep1-pr1
rep2-pr1
rep1-pr2
rep2-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.33457013115704215
0.29058667452010134
0.27401834301007605
0.2609352355891328
0.27298765683910214
0.256621293841776
0.4716117069707721
0.311910540757005
0.3000367856457341
FRiP for overlap peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.17093308931383308
0.10061737969142008
0.104808061406998
0.15910185167395954
FRiP for IDR peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.0038230826378701445
0.0017874847798211352
0.002611156930540218
0.0039424322135835225
For spp raw peaks:
repX: Peak from true replicate X
repX-prY: Peak from Yth pseudoreplicates from replicate X
pooled: Peak from pooled true replicates (pool of rep1, rep2, ...)
pooled-pr1: Peak from 1st pooled pseudo replicate (pool of rep1-pr1, rep2-pr1, ...)
pooled-pr2: Peak from 2nd pooled pseudo replicate (pool of rep1-pr2, rep2-pr2, ...)
For overlap/IDR peaks:
repX_vs_repY: Comparing two peaks from true replicates X and Y
repX-pr1_vs_repX-pr2: Comparing two peaks from both pseudoreplicates from replicate X
pooled-pr1_vs_pooled-pr2: Comparing two peaks from 1st and 2nd pooled pseudo replicates