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
7779141
9787038
6957207
Distinct Fragments
6774002
8291346
6150271
Positions with Two Read
806239
1151121
668789
NRF = Distinct/Total
0.87079
0.847176
0.884014
PBC1 = OneRead/Distinct
0.867102
0.841682
0.880556
PBC2 = OneRead/TwoRead
7.285369
6.062508
8.097712
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
92230
1124
N1
40447
337
N2
46593
325
Np
93510
1145
N optimal
93510
1145
N conservative
92230
1124
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0138783476092377
1.0186832740213523
Self Consistency Ratio
1.1519519371028755
1.0369230769230768
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
141545
142785
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
81.0
70.0
69.0
69.0
25 percentile
250.0
264.0
276.0
276.0
50 percentile (median)
250.0
264.0
276.0
276.0
75 percentile
250.0
264.0
276.0
276.0
Max size
250.0
264.0
276.0
276.0
Mean
249.99196015401463
263.9915817487831
273.64279475982534
275.9709015078601
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7328556
9210156
Estimated Fragment Length
140
180
Cross-correlation at Estimated Fragment Length
0.694710626769698
0.732419361742284
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.6950343
0.7328616
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6907358
0.728564
NSC (Normalized Strand Cross-correlation coeff.)
1.005754
1.005292
RSC (Relative Strand Cross-correlation coeff.)
0.9247037
0.897091
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
0.4152062174013209
0.42213617469858844
Synthetic AUC
0.49827066465499026
0.4984395815629326
X-intercept
0.019155443579782074
0.01888792618116917
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5074006492287912
0.49854662189410304
Synthetic Elbow Point
0.5004306715600064
0.5011813319535079
JS Distance
0.03274610152460587
0.029256922650352093
Synthetic JS Distance
0.12934426704660454
0.1208582357160135
% Genome Enriched
43.007414624018274
44.450611097579966
Diff. Enrichment
7.923655019290848
6.960629136547459
CHANCE Divergence
0.06733395120095456
0.059161610101854833
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
0.5550387620800689
0.560552934894424
0.4135168428301064
0.4275964285559973
0.41353384893761597
0.4305567324294462
0.5542232811209781
0.5597968879950561
0.5613371103603606
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
0.3859565115405524
0.18842580336927126
0.21276089740750784
0.39068982463981505
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
0.009136666883271602
0.0036579552009871224
0.003300460749073407
0.009212775781666453
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