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
rep4
ctl1
ctl2
ctl3
ctl4
Total Fragments
937202
1295098
1836043
1948366
1405680
1919660
2794172
1964730
Distinct Fragments
925904
1275791
1797931
1907690
1402051
1913239
2780126
1958152
Positions with Two Read
10695
18101
35079
37484
3498
6284
13066
6370
NRF = Distinct/Total
0.987945
0.985092
0.979242
0.979123
0.997418
0.996655
0.994973
0.996652
PBC1 = OneRead/Distinct
0.988139
0.985365
0.979703
0.979575
0.997461
0.99668
0.995139
0.996695
PBC2 = OneRead/TwoRead
85.546704
69.450307
50.21349
49.853938
399.797313
303.451305
211.741237
306.386342
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
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
rep4
Number of peaks
7961
6607
6690
5907
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
rep3
rep4
idr_opt
overlap_opt
Min size
85.0
88.0
95.0
94.0
120.0
120.0
25 percentile
340.0
350.0
380.0
376.0
420.0
480.0
50 percentile (median)
340.0
350.0
380.0
376.0
480.0
480.0
75 percentile
340.0
350.0
380.0
376.0
536.0
480.0
Max size
742.0
763.0
782.0
944.0
2121.0
2121.0
Mean
339.41100364275843
348.8690782503405
378.1080717488789
374.1213814118842
500.81849315068496
478.01982263954096
rep1rep2rep3rep4idr_optoverlap_opt
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
rep3
rep4
Number of Subsampled Reads
1089638
1540596
2102772
2274812
Estimated Fragment Length
155
165
150
150
Cross-correlation at Estimated Fragment Length
0.758357277341797
0.80721151951625
0.840727683651943
0.851668334125632
Phantom Peak
55
55
55
55
Cross-correlation at Phantom Peak
0.7261991
0.7852779
0.8238583
0.8380124
Argmin of Cross-correlation
1500
1500
1500
1500
Minimum of Cross-correlation
0.6654121
0.7381837
0.7854534
0.8031998
NSC (Normalized Strand Cross-correlation coeff.)
1.139681
1.09351
1.070372
1.060344
RSC (Relative Strand Cross-correlation coeff.)
1.529032
1.46574
1.439251
1.392272
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
rep1rep2rep3rep4
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for spp raw peaks
rep1
rep2
rep3
rep4
rep1-pr1
rep2-pr1
rep3-pr1
rep4-pr1
rep1-pr2
rep2-pr2
rep3-pr2
rep4-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.4523231251486355
0.39404059098221117
0.3962057423876325
0.3613775964372326
0.39262962612236463
0.36763185431601303
0.4301469366045012
0.3982184083877442
0.38500203381951303
0.35480719673897765
0.4337438180732224
0.3950549347278115
0.34468332779378935
0.36641695730286905
0.36776654916419454
FRiP for overlap peaks
rep1_vs_rep2
rep1_vs_rep3
rep1_vs_rep4
rep2_vs_rep3
rep2_vs_rep4
rep3_vs_rep4
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
rep4-pr1_vs_rep4-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.3049192668375578
0.3114054236267201
0.3072029586055256
0.30867123286978226
0.3070486608046993
0.3126781696941919
0.2725702608559035
0.25933678489434475
0.33152423541118725
0.305048385033662
0.3204486238069534
FRiP for IDR peaks
rep1_vs_rep2
rep1_vs_rep3
rep1_vs_rep4
rep2_vs_rep3
rep2_vs_rep4
rep3_vs_rep4
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
rep3-pr1_vs_rep3-pr2
rep4-pr1_vs_rep4-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.1964927688293485
0.2118255014973632
0.1940106821294985
0.21397310766394648
0.2123910071531786
0.19715161200730308
0.20527673366785504
0.19204422995830014
0.19105481370012836
0.17664257204240444
0.21594972151354844
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