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
ctl2
Total Fragments
9758431
12462764
2618418
30960820
Distinct Fragments
5848501
4454773
1983526
17230437
Positions with Two Read
1386361
1021768
380433
4274001
NRF = Distinct/Total
0.599328
0.357447
0.757528
0.556524
PBC1 = OneRead/Distinct
0.612261
0.3515
0.751986
0.556951
PBC2 = OneRead/TwoRead
2.582883
1.532493
3.920753
2.245322
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
30414
7087
N1
28951
4283
N2
26914
4696
Np
30469
7086
N optimal
30469
7087
N conservative
30414
7087
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0018083777207865
1.0001411233418007
Self Consistency Ratio
1.0756855168313888
1.0964277375671259
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
38144
39560
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
119.0
115.0
118.0
118.0
25 percentile
476.0
460.0
252.0
470.0
50 percentile (median)
476.0
460.0
470.0
470.0
75 percentile
476.0
460.0
470.0
470.0
Max size
1083.0
1158.0
1898.0
1898.0
Mean
463.82948825503354
449.81089484327606
388.730915761253
446.76671370901573
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
9758431
12462764
Estimated Fragment Length
220
215
Cross-correlation at Estimated Fragment Length
0.671191877179926
0.575036162637931
Phantom Peak
55
55
Cross-correlation at Phantom Peak
0.6194543
0.5277501
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.5899448
0.5029218
NSC (Normalized Strand Cross-correlation coeff.)
1.13772
1.143391
RSC (Relative Strand Cross-correlation coeff.)
2.753251
2.904521
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
0.25327295156052976
0.2540602097393002
Synthetic AUC
0.4962956666603287
0.495750099585995
X-intercept
0.03240272499675833
0.034880357481273126
Synthetic X-intercept
0.0
0.0
Elbow Point
0.6642528701237819
0.6582522916105609
Synthetic Elbow Point
0.5012968723604859
0.49947246844361864
JS Distance
0.23342234059995037
0.23272588460068278
Synthetic JS Distance
0.3555327622677767
0.35398417350566463
% Genome Enriched
31.166901064264838
31.481492564110237
Diff. Enrichment
33.40539716820116
32.731835600078
CHANCE Divergence
0.28648473427462257
0.2805978939580009
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
0.4290268200385816
0.4369464280456754
0.45767864617592535
0.46300489953701623
0.4575400714294501
0.4624149154559785
0.4070313191583204
0.4317336167610617
0.4324070225653209
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
0.36580810696642196
0.36864871625028256
0.3541882847548624
0.3664624174759242
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
0.15910238032747168
0.11186801955698646
0.12736192011550324
0.15899551252284894
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