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
Total Fragments
2235747
846888
1168503
1449951
2021943
2908895
1705713
Distinct Fragments
2204918
766567
1155786
1446811
2014504
2895991
1700692
Positions with Two Read
29347
64175
12360
3114
7276
12643
4962
NRF = Distinct/Total
0.986211
0.905157
0.989117
0.997834
0.996321
0.995564
0.997056
PBC1 = OneRead/Distinct
0.986368
0.906392
0.989155
0.997839
0.996349
0.99559
0.997065
PBC2 = OneRead/TwoRead
74.108461
10.826802
92.496036
463.61079
275.858988
228.048723
341.737404
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
1691
691
N1
2496
745
N2
3860
1560
N3
1728
769
Np
2846
882
N optimal
2846
882
N conservative
1691
691
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep3
rep1_vs_rep3
Rescue Ratio
1.6830277942046126
1.276410998552822
Self Consistency Ratio
2.2337962962962963
2.0939597315436242
Reproducibility Test
borderline
borderline
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
4078
5120
5190
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
104.0
58.0
79.0
98.0
98.0
25 percentile
416.0
230.0
316.0
294.25
390.0
50 percentile (median)
416.0
230.0
316.0
371.0
390.0
75 percentile
416.0
230.0
316.0
390.0
390.0
Max size
1744.0
867.0
490.0
2915.0
2915.0
Mean
412.3849926434527
218.1486328125
307.7587668593449
419.09637188208615
394.01440618411806
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
rep3
Number of Subsampled Reads
2596031
2014032
1471717
Estimated Fragment Length
155
100
140
Cross-correlation at Estimated Fragment Length
0.88101097480103
0.837433266916296
0.81932289115616
Phantom Peak
55
55
55
Cross-correlation at Phantom Peak
0.8731895
0.8232092
0.8112757
Argmin of Cross-correlation
1500
1500
1500
Minimum of Cross-correlation
0.8443937
0.7731979
0.7857126
NSC (Normalized Strand Cross-correlation coeff.)
1.043365
1.083078
1.042777
RSC (Relative Strand Cross-correlation coeff.)
1.271619
1.284417
1.3148
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
0.2952074276869218
0.35511113430713126
0.3061652539812175
0.32531436930844176
0.41180768668712553
0.2967079738309301
0.3185292543380614
0.40646178175242104
0.3077550646888495
0.26643157221189345
0.30093082103994945
0.29918419561513604
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
0.11239849283633128
0.176102434334749
0.10906099120160453
0.2427621371688137
0.3049503206487347
0.1695921831213298
0.23435418442908573
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
0.05529074929588904
0.12572686417469445
0.059228960130072277
0.15038100439050148
0.1879086395751649
0.11847866813316596
0.14114055459117086
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