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
8290754
8231312
17033715
Distinct Fragments
7449405
7176151
15854069
Positions with Two Read
604400
749009
814539
NRF = Distinct/Total
0.89852
0.871811
0.930746
PBC1 = OneRead/Distinct
0.908022
0.879829
0.943386
PBC2 = OneRead/TwoRead
11.191628
8.429516
18.361937
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
6306
152
N1
6150
70
N2
6396
63
Np
6641
143
N optimal
6641
152
N conservative
6306
152
Optimal Set
pooled-pr1_vs_pooled-pr2
rep1_vs_rep2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0531240088804312
1.062937062937063
Self Consistency Ratio
1.04
1.1111111111111112
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
15125
17238
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
202.0
180.0
175.0
175.0
25 percentile
780.0
710.0
700.0
700.0
50 percentile (median)
780.0
710.0
700.0
700.0
75 percentile
780.0
710.0
700.0
700.0
Max size
6170.0
3610.0
6137.0
6137.0
Mean
783.0267768595041
712.000232045481
1068.0
708.2421322090047
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
8290754
8231312
Estimated Fragment Length
170
140
Cross-correlation at Estimated Fragment Length
0.736573859829284
0.72353546716499
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.7366577
0.7234612
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.7318628
0.7190878
NSC (Normalized Strand Cross-correlation coeff.)
1.006437
1.006185
RSC (Relative Strand Cross-correlation coeff.)
0.9825183
1.016992
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
0.39798577821732395
0.3981998730721634
Synthetic AUC
0.4966801508592206
0.4966154415502014
X-intercept
0.029832125676188193
0.02987005209892808
Synthetic X-intercept
0.0
0.0
Elbow Point
0.4663093598419067
0.46198774377707247
Synthetic Elbow Point
0.5003524789681983
0.5054992618660229
JS Distance
0.029987768802575285
0.029349948409667797
Synthetic JS Distance
0.15199777060462305
0.1523342300854658
% Genome Enriched
35.99576820967324
36.54989320717807
Diff. Enrichment
6.088638906892696
5.957079081057692
CHANCE Divergence
0.051928818210281134
0.05075373962659326
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
0.13732441685769667
0.14435533148952104
0.16965016892905838
0.17884970053129076
0.17822288405176884
0.1822295281854131
0.15024996455117695
0.14790797684142373
0.1424476831999397
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
0.054505441300469686
0.05869160085627536
0.0569184022582293
0.05706410560383597
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
0.005358592238315491
0.004273203664721329
0.004005211298384414
0.005204849822264346
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