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
9932223
9407939
11108345
Distinct Fragments
8195997
7749064
9092350
Positions with Two Read
1258691
1187813
1457763
NRF = Distinct/Total
0.825193
0.823673
0.818515
PBC1 = OneRead/Distinct
0.819532
0.818759
0.811215
PBC2 = OneRead/TwoRead
5.336404
5.341427
5.059707
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
55620
2703
N1
29821
1682
N2
38945
1355
Np
75095
3168
N optimal
75095
3168
N conservative
55620
2703
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.3501438331535418
1.172031076581576
Self Consistency Ratio
1.3059588880319237
1.241328413284133
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
77748
123890
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
70.0
68.0
76.0
76.0
25 percentile
280.0
270.0
304.0
304.0
50 percentile (median)
280.0
270.0
304.0
304.0
75 percentile
280.0
270.0
304.0
304.0
Max size
403.0
307.0
515.0
515.0
Mean
279.7029634202809
269.9080232464283
292.2929292929293
303.496144883148
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9390791
8861744
Estimated Fragment Length
155
130
Cross-correlation at Estimated Fragment Length
0.728272297353722
0.714805809107293
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7276565
0.7146908
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7220956
0.7094574
NSC (Normalized Strand Cross-correlation coeff.)
1.008554
1.007539
RSC (Relative Strand Cross-correlation coeff.)
1.110731
1.021981
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
0.40724363368203453
0.4101884736622618
Synthetic AUC
0.4984284310215867
0.4983755563064248
X-intercept
0.01865589702024699
0.018785659813860264
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5599843486107395
0.5383738525974519
Synthetic Elbow Point
0.49903890946650764
0.5016837985890372
JS Distance
0.06345634932691147
0.0625963634189198
Synthetic JS Distance
0.14710168903425994
0.13844970698780018
% Genome Enriched
40.966912483979286
44.03570273539969
Diff. Enrichment
8.613794852096385
8.560841878788516
CHANCE Divergence
0.07322504190831843
0.0727934927766989
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
0.37100721892395927
0.5196005514452838
0.3524793822899673
0.41044073504122486
0.3509842621740304
0.41024221268447425
0.49423411119823774
0.5153636525700209
0.5153349174035378
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
0.2789850876329079
0.16704275827918375
0.20066186531914587
0.354825482171107
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
0.027021029653943825
0.01987354164314706
0.014808663484830118
0.03059073518393623
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