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
rep3
ctl1
ctl2
ctl3
ctl4
ctl5
Total Fragments
1555659
1132613
1967224
1622980
2105576
3771782
3216376
2033094
Distinct Fragments
1541106
1123027
1939702
1619228
2095316
3753321
3201528
2025906
Positions with Two Read
11564
7412
20075
3655
10057
17329
14186
7012
NRF = Distinct/Total
0.990645
0.991536
0.98601
0.997688
0.995127
0.995105
0.995384
0.996465
PBC1 = OneRead/Distinct
0.991666
0.992595
0.988245
0.997713
0.995153
0.995246
0.995472
0.996497
PBC2 = OneRead/TwoRead
132.156866
150.392742
95.486924
442.004104
207.334295
215.562294
224.66044
287.90773
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
2575
961
N1
2491
759
N2
2254
855
N3
2544
873
Np
2799
990
N optimal
2799
990
N conservative
2575
961
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep3
rep1_vs_rep3
Rescue Ratio
1.0869902912621359
1.0301768990634756
Self Consistency Ratio
1.1286601597160604
1.150197628458498
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
rep3
Number of peaks
5130
4254
4535
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
rep3
idr_opt
overlap_opt
Min size
110.0
101.0
110.0
121.0
121.0
25 percentile
440.0
404.0
440.0
322.0
484.0
50 percentile (median)
440.0
404.0
440.0
462.5
484.0
75 percentile
440.0
404.0
440.0
654.5
484.0
Max size
2239.0
1958.0
2220.0
3726.0
3726.0
Mean
429.9401559454191
390.60789844851905
435.7678059536935
624.5878787878788
523.8803143979993
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
rep3
Number of Subsampled Reads
1808902
1490231
2614674
Estimated Fragment Length
155
130
135
Cross-correlation at Estimated Fragment Length
0.851286012444008
0.826068354711689
0.88837130973791
Phantom Peak
55
55
55
Cross-correlation at Phantom Peak
0.8486139
0.8251115
0.8878458
Argmin of Cross-correlation
1500
1500
1500
Minimum of Cross-correlation
0.8294499
0.7983338
0.8607252
NSC (Normalized Strand Cross-correlation coeff.)
1.026326
1.034741
1.03212
RSC (Relative Strand Cross-correlation coeff.)
1.139436
1.035735
1.019375
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
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for spp raw peaks
rep1
rep2
rep3
rep1-pr1
rep2-pr1
rep3-pr1
rep1-pr2
rep2-pr2
rep3-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.3188352553136021
0.30336183284360924
0.29864845649022187
0.3269809194117197
0.32823053279964975
0.3026508449916176
0.33317487966816817
0.33465983010637484
0.31313479988830306
0.2562265640975324
0.28713503812044766
0.2871482796631178
FRiP for overlap peaks
rep1_vs_rep2
rep1_vs_rep3
rep2_vs_rep3
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.21105087053374705
0.22095293955735043
0.2171259166512182
0.21514819200693133
0.2149854684532846
0.22598025931417656
0.2304147815557901
FRiP for IDR peaks
rep1_vs_rep2
rep1_vs_rep3
rep2_vs_rep3
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.13105154780609346
0.13769782539137443
0.1336700086004905
0.10765921350777503
0.12407164506363447
0.1277309854989732
0.14069660065721468
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