Title: NS3143
Project: (none)
Started on: 9/15/2023 16:35:51
Hostname: login1.ufhpc
Run directory: /orange/licht/runs/NSD2-E1099K-Project/NS3143/NS3143
Configuration NS3143.conf
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Table of contents:
- Input data
- Trimming and quality control
- Mapping to genome
- Genome coverage
- Peak detection (MACS2)
- Fraction of Reads in Peaks
- Differential peak analysis
- Peak detection (HOMER)
- Differential peak finding
- Motif finding
- MultiQC report
- UCSC hub
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1. Input data
The following table summarizes the samples, conditions, and contrasts in this analysis. A readset is either a single fastq file or a pair of fastq files (for paired-end sequencing).
Category | Data |
Summary of input data |
Experimental conditions: | NTKO-EZM-K27ac, NTKO-EZM-K27me3, NTKO-EZM-K36me2, NTKO-EZM-K36me3, NTKO-EZM-K4me1, NTKO-EZM-K4me3, NTKO-ctl-K27ac, NTKO-ctl-K27me3, NTKO-ctl-K36me2, NTKO-ctl-K36me3, NTKO-ctl-K4me1, NTKO-ctl-K4me3, TKO-EZM-K27ac, TKO-EZM-K27me3, TKO-EZM-K36me2, TKO-EZM-K36me3, TKO-EZM-K4me1, TKO-EZM-K4me3, TKO-ctl-K27ac, TKO-ctl-K27me3, TKO-ctl-K36me2, TKO-ctl-K36me3, TKO-ctl-K4me1, TKO-ctl-K4me3 |
Contrasts: | NTKO-EZM-K27ac vs. NTKO-ctl-K27ac, TKO-EZM-K27ac vs. TKO-ctl-K27ac, TKO-ctl-K27ac vs. NTKO-ctl-K27ac, NTKO-EZM-K27me3 vs. NTKO-ctl-K27me3, TKO-EZM-K27me3 vs. TKO-ctl-K27me3, TKO-ctl-K27me3 vs. NTKO-ctl-K27me3, NTKO-EZM-K36me3 vs. NTKO-ctl-K36me3, TKO-EZM-K36me3 vs. TKO-ctl-K36me3, TKO-ctl-K36me3 vs. NTKO-ctl-K36me3, NTKO-EZM-K4me1 vs. NTKO-ctl-K4me1, TKO-EZM-K4me1 vs. TKO-ctl-K4me1, TKO-ctl-K4me1 vs. NTKO-ctl-K4me1, NTKO-EZM-K4me3 vs. NTKO-ctl-K4me3, TKO-EZM-K4me3 vs. TKO-ctl-K4me3, TKO-ctl-K4me3 vs. NTKO-ctl-K4me3, NTKO-EZM-K36me2 vs. NTKO-ctl-K36me2, TKO-EZM-K36me2 vs. TKO-ctl-K36me2, TKO-ctl-K36me2 vs. NTKO-ctl-K36me2 |
Number of samples | 24 |
Sequencing data data |
Total number of reads: | 1,240,344,915 |
Average reads per sample: | 51,681,038 |
Table 1. Summary of input data
Condition | Sample | Number of reads | % Reads |
NTKO-EZM-K27ac | NTKO-EZM-K27ac-S | 101,196,099 | 8.16% |
NTKO-EZM-K27me3 | NTKO-EZM-K27me3-S | 52,762,556 | 4.25% |
NTKO-EZM-K36me2 | NTKO-EZM-K36me2-S | 56,677,795 | 4.57% |
NTKO-EZM-K36me3 | NTKO-EZM-K36me3-S | 63,202,259 | 5.10% |
NTKO-EZM-K4me1 | NTKO-EZM-K4me1-S | 43,447,712 | 3.50% |
NTKO-EZM-K4me3 | NTKO-EZM-K4me3-S | 56,781,879 | 4.58% |
NTKO-ctl-K27ac | NTKO-ctl-K27ac-S | 84,763,149 | 6.83% |
NTKO-ctl-K27me3 | NTKO-ctl-K27me3-S | 64,444,691 | 5.20% |
NTKO-ctl-K36me2 | NTKO-ctl-K36me2-S | 55,371,124 | 4.46% |
NTKO-ctl-K36me3 | NTKO-ctl-K36me3-S | 66,029,325 | 5.32% |
NTKO-ctl-K4me1 | NTKO-ctl-K4me1-S | 62,317,431 | 5.02% |
NTKO-ctl-K4me3 | NTKO-ctl-K4me3-S | 46,947,099 | 3.79% |
TKO-EZM-K27ac | TKO-EZM-K27ac-S | 56,075,253 | 4.52% |
TKO-EZM-K27me3 | TKO-EZM-K27me3-S | 45,379,932 | 3.66% |
TKO-EZM-K36me2 | TKO-EZM-K36me2-S | 16,591,278 | 1.34% |
TKO-EZM-K36me3 | TKO-EZM-K36me3-S | 74,175,407 | 5.98% |
TKO-EZM-K4me1 | TKO-EZM-K4me1-S | 16,549,175 | 1.33% |
TKO-EZM-K4me3 | TKO-EZM-K4me3-S | 41,890,624 | 3.38% |
TKO-ctl-K27ac | TKO-ctl-K27ac-S | 50,860,655 | 4.10% |
TKO-ctl-K27me3 | TKO-ctl-K27me3-S | 50,336,120 | 4.06% |
TKO-ctl-K36me2 | TKO-ctl-K36me2-S | 11,320,623 | 0.91% |
TKO-ctl-K36me3 | TKO-ctl-K36me3-S | 58,617,323 | 4.73% |
TKO-ctl-K4me1 | TKO-ctl-K4me1-S | 22,801,271 | 1.84% |
TKO-ctl-K4me3 | TKO-ctl-K4me3-S | 41,806,135 | 3.37% |
Table 2. Number of reads in each sample.
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2. Trimming and quality control
The input sequences were trimmed using trimmomatic. Quality control was performed before and after trimming using FastQC. The following table provides links to the
quality control reports before and after trimming, as well as the number of reads in the trimmed files.
Sample | Readset | Reads before trim | QC before trim | Reads after trim | QC after trim | % Retained |
NTKO-EZM-K27ac-S | NTKO-EZM-K27ac-S_r1 | 101,196,099 | NTKO-EZM-K27ac_S14_L004_R1_001 NTKO-EZM-K27ac_S14_L004_R2_001 | 97,486,982 | NTKO-EZM-K27ac_S14_L004_R1_001.trim.paired NTKO-EZM-K27ac_S14_L004_R2_001.trim.paired | 96.33% |
NTKO-EZM-K27me3-S | NTKO-EZM-K27me3-S_r1 | 52,762,556 | NTKO-EZM-K27me3_S18_L004_R1_001 NTKO-EZM-K27me3_S18_L004_R2_001 | 50,692,722 | NTKO-EZM-K27me3_S18_L004_R1_001.trim.paired NTKO-EZM-K27me3_S18_L004_R2_001.trim.paired | 96.08% |
NTKO-EZM-K36me2-S | NTKO-EZM-K36me2-S_r1 | 56,677,795 | NTKO-EZM-K36me2_S6_L004_R1_001 NTKO-EZM-K36me2_S6_L004_R2_001 | 54,775,823 | NTKO-EZM-K36me2_S6_L004_R1_001.trim.paired NTKO-EZM-K36me2_S6_L004_R2_001.trim.paired | 96.64% |
NTKO-EZM-K36me3-S | NTKO-EZM-K36me3-S_r1 | 63,202,259 | NTKO-EZM-K36me3_S22_L004_R1_001 NTKO-EZM-K36me3_S22_L004_R2_001 | 61,157,913 | NTKO-EZM-K36me3_S22_L004_R1_001.trim.paired NTKO-EZM-K36me3_S22_L004_R2_001.trim.paired | 96.77% |
NTKO-EZM-K4me1-S | NTKO-EZM-K4me1-S_r1 | 43,447,712 | NTKO-EZM-K4me1_S2_L004_R1_001 NTKO-EZM-K4me1_S2_L004_R2_001 | 41,962,092 | NTKO-EZM-K4me1_S2_L004_R1_001.trim.paired NTKO-EZM-K4me1_S2_L004_R2_001.trim.paired | 96.58% |
NTKO-EZM-K4me3-S | NTKO-EZM-K4me3-S_r1 | 56,781,879 | NTKO-EZM-K4me3_S10_L004_R1_001 NTKO-EZM-K4me3_S10_L004_R2_001 | 54,643,008 | NTKO-EZM-K4me3_S10_L004_R1_001.trim.paired NTKO-EZM-K4me3_S10_L004_R2_001.trim.paired | 96.23% |
NTKO-ctl-K27ac-S | NTKO-ctl-K27ac-S_r1 | 84,763,149 | NTKO-ctl-K27ac_S13_L004_R1_001 NTKO-ctl-K27ac_S13_L004_R2_001 | 81,801,737 | NTKO-ctl-K27ac_S13_L004_R1_001.trim.paired NTKO-ctl-K27ac_S13_L004_R2_001.trim.paired | 96.51% |
NTKO-ctl-K27me3-S | NTKO-ctl-K27me3-S_r1 | 64,444,691 | NTKO-ctl-K27me3_S17_L004_R1_001 NTKO-ctl-K27me3_S17_L004_R2_001 | 62,106,316 | NTKO-ctl-K27me3_S17_L004_R1_001.trim.paired NTKO-ctl-K27me3_S17_L004_R2_001.trim.paired | 96.37% |
NTKO-ctl-K36me2-S | NTKO-ctl-K36me2-S_r1 | 55,371,124 | NTKO-ctl-K36me2_S5_L004_R1_001 NTKO-ctl-K36me2_S5_L004_R2_001 | 53,641,628 | NTKO-ctl-K36me2_S5_L004_R1_001.trim.paired NTKO-ctl-K36me2_S5_L004_R2_001.trim.paired | 96.88% |
NTKO-ctl-K36me3-S | NTKO-ctl-K36me3-S_r1 | 66,029,325 | NTKO-ctl-K36me3_S21_L004_R1_001 NTKO-ctl-K36me3_S21_L004_R2_001 | 63,677,567 | NTKO-ctl-K36me3_S21_L004_R1_001.trim.paired NTKO-ctl-K36me3_S21_L004_R2_001.trim.paired | 96.44% |
NTKO-ctl-K4me1-S | NTKO-ctl-K4me1-S_r1 | 62,317,431 | NTKO-ctl-K4me1_S1_L004_R1_001 NTKO-ctl-K4me1_S1_L004_R2_001 | 60,019,067 | NTKO-ctl-K4me1_S1_L004_R1_001.trim.paired NTKO-ctl-K4me1_S1_L004_R2_001.trim.paired | 96.31% |
NTKO-ctl-K4me3-S | NTKO-ctl-K4me3-S_r1 | 46,947,099 | NTKO-ctl-K4me3_S9_L004_R1_001 NTKO-ctl-K4me3_S9_L004_R2_001 | 44,987,941 | NTKO-ctl-K4me3_S9_L004_R1_001.trim.paired NTKO-ctl-K4me3_S9_L004_R2_001.trim.paired | 95.83% |
TKO-EZM-K27ac-S | TKO-EZM-K27ac-S_r1 | 56,075,253 | TKO-EZM-K27ac_S16_L004_R1_001 TKO-EZM-K27ac_S16_L004_R2_001 | 54,113,981 | TKO-EZM-K27ac_S16_L004_R1_001.trim.paired TKO-EZM-K27ac_S16_L004_R2_001.trim.paired | 96.50% |
TKO-EZM-K27me3-S | TKO-EZM-K27me3-S_r1 | 45,379,932 | TKO-EZM-K27me3_S20_L004_R1_001 TKO-EZM-K27me3_S20_L004_R2_001 | 43,787,203 | TKO-EZM-K27me3_S20_L004_R1_001.trim.paired TKO-EZM-K27me3_S20_L004_R2_001.trim.paired | 96.49% |
TKO-EZM-K36me2-S | TKO-EZM-K36me2-S_r1 | 16,591,278 | TKO-EZM-K36me2_S8_L004_R1_001 TKO-EZM-K36me2_S8_L004_R2_001 | 16,026,934 | TKO-EZM-K36me2_S8_L004_R1_001.trim.paired TKO-EZM-K36me2_S8_L004_R2_001.trim.paired | 96.60% |
TKO-EZM-K36me3-S | TKO-EZM-K36me3-S_r1 | 74,175,407 | TKO-EZM-K36me3_S24_L004_R1_001 TKO-EZM-K36me3_S24_L004_R2_001 | 71,718,764 | TKO-EZM-K36me3_S24_L004_R1_001.trim.paired TKO-EZM-K36me3_S24_L004_R2_001.trim.paired | 96.69% |
TKO-EZM-K4me1-S | TKO-EZM-K4me1-S_r1 | 16,549,175 | TKO-EZM-K4me1_S4_L004_R1_001 TKO-EZM-K4me1_S4_L004_R2_001 | 15,952,704 | TKO-EZM-K4me1_S4_L004_R1_001.trim.paired TKO-EZM-K4me1_S4_L004_R2_001.trim.paired | 96.40% |
TKO-EZM-K4me3-S | TKO-EZM-K4me3-S_r1 | 41,890,624 | TKO-EZM-K4me3_S12_L004_R1_001 TKO-EZM-K4me3_S12_L004_R2_001 | 40,232,574 | TKO-EZM-K4me3_S12_L004_R1_001.trim.paired TKO-EZM-K4me3_S12_L004_R2_001.trim.paired | 96.04% |
TKO-ctl-K27ac-S | TKO-ctl-K27ac-S_r1 | 50,860,655 | TKO-ctl-K27ac_S15_L004_R1_001 TKO-ctl-K27ac_S15_L004_R2_001 | 49,112,226 | TKO-ctl-K27ac_S15_L004_R1_001.trim.paired TKO-ctl-K27ac_S15_L004_R2_001.trim.paired | 96.56% |
TKO-ctl-K27me3-S | TKO-ctl-K27me3-S_r1 | 50,336,120 | TKO-ctl-K27me3_S19_L004_R1_001 TKO-ctl-K27me3_S19_L004_R2_001 | 48,642,453 | TKO-ctl-K27me3_S19_L004_R1_001.trim.paired TKO-ctl-K27me3_S19_L004_R2_001.trim.paired | 96.64% |
TKO-ctl-K36me2-S | TKO-ctl-K36me2-S_r1 | 11,320,623 | TKO-ctl-K36me2_S7_L004_R1_001 TKO-ctl-K36me2_S7_L004_R2_001 | 10,946,407 | TKO-ctl-K36me2_S7_L004_R1_001.trim.paired TKO-ctl-K36me2_S7_L004_R2_001.trim.paired | 96.69% |
TKO-ctl-K36me3-S | TKO-ctl-K36me3-S_r1 | 58,617,323 | TKO-ctl-K36me3_S23_L004_R1_001 TKO-ctl-K36me3_S23_L004_R2_001 | 56,548,336 | TKO-ctl-K36me3_S23_L004_R1_001.trim.paired TKO-ctl-K36me3_S23_L004_R2_001.trim.paired | 96.47% |
TKO-ctl-K4me1-S | TKO-ctl-K4me1-S_r1 | 22,801,271 | TKO-ctl-K4me1_S3_L004_R1_001 TKO-ctl-K4me1_S3_L004_R2_001 | 22,022,438 | TKO-ctl-K4me1_S3_L004_R1_001.trim.paired TKO-ctl-K4me1_S3_L004_R2_001.trim.paired | 96.58% |
TKO-ctl-K4me3-S | TKO-ctl-K4me3-S_r1 | 41,806,135 | TKO-ctl-K4me3_S11_L004_R1_001 TKO-ctl-K4me3_S11_L004_R2_001 | 40,363,389 | TKO-ctl-K4me3_S11_L004_R1_001.trim.paired TKO-ctl-K4me3_S11_L004_R2_001.trim.paired | 96.55% |
Table 3. Number of reads in input files and links to QC reports.
The following two tables report the number of reads before and after QC in each sample and in each condition.
Sample | Reads before QC | Reads after QC | % Retained |
NTKO-EZM-K27ac-S | 101,196,099 | 97,486,982 | 96.33% |
NTKO-EZM-K27me3-S | 52,762,556 | 50,692,722 | 96.08% |
NTKO-EZM-K36me2-S | 56,677,795 | 54,775,823 | 96.64% |
NTKO-EZM-K36me3-S | 63,202,259 | 61,157,913 | 96.77% |
NTKO-EZM-K4me1-S | 43,447,712 | 41,962,092 | 96.58% |
NTKO-EZM-K4me3-S | 56,781,879 | 54,643,008 | 96.23% |
NTKO-ctl-K27ac-S | 84,763,149 | 81,801,737 | 96.51% |
NTKO-ctl-K27me3-S | 64,444,691 | 62,106,316 | 96.37% |
NTKO-ctl-K36me2-S | 55,371,124 | 53,641,628 | 96.88% |
NTKO-ctl-K36me3-S | 66,029,325 | 63,677,567 | 96.44% |
NTKO-ctl-K4me1-S | 62,317,431 | 60,019,067 | 96.31% |
NTKO-ctl-K4me3-S | 46,947,099 | 44,987,941 | 95.83% |
TKO-EZM-K27ac-S | 56,075,253 | 54,113,981 | 96.50% |
TKO-EZM-K27me3-S | 45,379,932 | 43,787,203 | 96.49% |
TKO-EZM-K36me2-S | 16,591,278 | 16,026,934 | 96.60% |
TKO-EZM-K36me3-S | 74,175,407 | 71,718,764 | 96.69% |
TKO-EZM-K4me1-S | 16,549,175 | 15,952,704 | 96.40% |
TKO-EZM-K4me3-S | 41,890,624 | 40,232,574 | 96.04% |
TKO-ctl-K27ac-S | 50,860,655 | 49,112,226 | 96.56% |
TKO-ctl-K27me3-S | 50,336,120 | 48,642,453 | 96.64% |
TKO-ctl-K36me2-S | 11,320,623 | 10,946,407 | 96.69% |
TKO-ctl-K36me3-S | 58,617,323 | 56,548,336 | 96.47% |
TKO-ctl-K4me1-S | 22,801,271 | 22,022,438 | 96.58% |
TKO-ctl-K4me3-S | 41,806,135 | 40,363,389 | 96.55% |
Table 4. Number of reads in each sample before and after QC.
Condition | Reads before QC | Reads after QC | % Retained |
NTKO-EZM-K27ac | 101,196,099 | 97,486,982 | 96.33% |
NTKO-EZM-K27me3 | 52,762,556 | 50,692,722 | 96.08% |
NTKO-EZM-K36me2 | 56,677,795 | 54,775,823 | 96.64% |
NTKO-EZM-K36me3 | 63,202,259 | 61,157,913 | 96.77% |
NTKO-EZM-K4me1 | 43,447,712 | 41,962,092 | 96.58% |
NTKO-EZM-K4me3 | 56,781,879 | 54,643,008 | 96.23% |
NTKO-ctl-K27ac | 84,763,149 | 81,801,737 | 96.51% |
NTKO-ctl-K27me3 | 64,444,691 | 62,106,316 | 96.37% |
NTKO-ctl-K36me2 | 55,371,124 | 53,641,628 | 96.88% |
NTKO-ctl-K36me3 | 66,029,325 | 63,677,567 | 96.44% |
NTKO-ctl-K4me1 | 62,317,431 | 60,019,067 | 96.31% |
NTKO-ctl-K4me3 | 46,947,099 | 44,987,941 | 95.83% |
TKO-EZM-K27ac | 56,075,253 | 54,113,981 | 96.50% |
TKO-EZM-K27me3 | 45,379,932 | 43,787,203 | 96.49% |
TKO-EZM-K36me2 | 16,591,278 | 16,026,934 | 96.60% |
TKO-EZM-K36me3 | 74,175,407 | 71,718,764 | 96.69% |
TKO-EZM-K4me1 | 16,549,175 | 15,952,704 | 96.40% |
TKO-EZM-K4me3 | 41,890,624 | 40,232,574 | 96.04% |
TKO-ctl-K27ac | 50,860,655 | 49,112,226 | 96.56% |
TKO-ctl-K27me3 | 50,336,120 | 48,642,453 | 96.64% |
TKO-ctl-K36me2 | 11,320,623 | 10,946,407 | 96.69% |
TKO-ctl-K36me3 | 58,617,323 | 56,548,336 | 96.47% |
TKO-ctl-K4me1 | 22,801,271 | 22,022,438 | 96.58% |
TKO-ctl-K4me3 | 41,806,135 | 40,363,389 | 96.55% |
Table 5. Number of reads in each condition before and after QC.
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3. Mapping to genome
The input sequences were aligned to the genome using Bowtie 2.4.5. The following table reports the number of aligned reads for each
sample. The WIG files can be uploaded to the UCSC
Genome Browser as custom tracks.
Sample | Total reads | Aligned reads | Concordant alignment rate | Bowtie2 report |
NTKO-EZM-K27ac-S | 97,486,982 | 80,003,718 | 82.07% | bam.bowtie/NTKO-EZM-K27ac-S.bt2stats.html |
NTKO-EZM-K27me3-S | 50,692,722 | 38,854,136 | 76.65% | bam.bowtie/NTKO-EZM-K27me3-S.bt2stats.html |
NTKO-EZM-K36me2-S | 54,775,823 | 44,631,660 | 81.48% | bam.bowtie/NTKO-EZM-K36me2-S.bt2stats.html |
NTKO-EZM-K36me3-S | 61,157,913 | 45,676,274 | 74.69% | bam.bowtie/NTKO-EZM-K36me3-S.bt2stats.html |
NTKO-EZM-K4me1-S | 41,962,092 | 34,497,825 | 82.21% | bam.bowtie/NTKO-EZM-K4me1-S.bt2stats.html |
NTKO-EZM-K4me3-S | 54,643,008 | 44,269,015 | 81.01% | bam.bowtie/NTKO-EZM-K4me3-S.bt2stats.html |
NTKO-ctl-K27ac-S | 81,801,737 | 68,486,536 | 83.72% | bam.bowtie/NTKO-ctl-K27ac-S.bt2stats.html |
NTKO-ctl-K27me3-S | 62,106,316 | 47,977,535 | 77.25% | bam.bowtie/NTKO-ctl-K27me3-S.bt2stats.html |
NTKO-ctl-K36me2-S | 53,641,628 | 44,460,367 | 82.88% | bam.bowtie/NTKO-ctl-K36me2-S.bt2stats.html |
NTKO-ctl-K36me3-S | 63,677,567 | 50,301,948 | 78.99% | bam.bowtie/NTKO-ctl-K36me3-S.bt2stats.html |
NTKO-ctl-K4me1-S | 60,019,067 | 49,909,189 | 83.16% | bam.bowtie/NTKO-ctl-K4me1-S.bt2stats.html |
NTKO-ctl-K4me3-S | 44,987,941 | 36,835,072 | 81.88% | bam.bowtie/NTKO-ctl-K4me3-S.bt2stats.html |
TKO-EZM-K27ac-S | 54,113,981 | 44,805,937 | 82.80% | bam.bowtie/TKO-EZM-K27ac-S.bt2stats.html |
TKO-EZM-K27me3-S | 43,787,203 | 35,083,522 | 80.12% | bam.bowtie/TKO-EZM-K27me3-S.bt2stats.html |
TKO-EZM-K36me2-S | 16,026,934 | 13,316,062 | 83.09% | bam.bowtie/TKO-EZM-K36me2-S.bt2stats.html |
TKO-EZM-K36me3-S | 71,718,764 | 52,955,993 | 73.84% | bam.bowtie/TKO-EZM-K36me3-S.bt2stats.html |
TKO-EZM-K4me1-S | 15,952,704 | 12,944,045 | 81.14% | bam.bowtie/TKO-EZM-K4me1-S.bt2stats.html |
TKO-EZM-K4me3-S | 40,232,574 | 33,016,775 | 82.06% | bam.bowtie/TKO-EZM-K4me3-S.bt2stats.html |
TKO-ctl-K27ac-S | 49,112,226 | 40,951,106 | 83.38% | bam.bowtie/TKO-ctl-K27ac-S.bt2stats.html |
TKO-ctl-K27me3-S | 48,642,453 | 39,407,926 | 81.02% | bam.bowtie/TKO-ctl-K27me3-S.bt2stats.html |
TKO-ctl-K36me2-S | 10,946,407 | 9,006,038 | 82.27% | bam.bowtie/TKO-ctl-K36me2-S.bt2stats.html |
TKO-ctl-K36me3-S | 56,548,336 | 44,983,725 | 79.55% | bam.bowtie/TKO-ctl-K36me3-S.bt2stats.html |
TKO-ctl-K4me1-S | 22,022,438 | 18,069,784 | 82.05% | bam.bowtie/TKO-ctl-K4me1-S.bt2stats.html |
TKO-ctl-K4me3-S | 40,363,389 | 33,378,805 | 82.70% | bam.bowtie/TKO-ctl-K4me3-S.bt2stats.html |
Table 6. Number of alignments to genome.
|
4. Genome coverage
The following table reports the overall and effective genome coverage in each sample. The Total nt column reports
the total number of nucleotides sequenced, i.e. the number of aligned reads times the length of each read. Coverage is this number
divided by the size of the genome. Effective bp reports the number of bases in the genome having coverage greater than 5, and the
Effective Perc column shows what percentage this is of the genome size. Note that, especially in the case of RNA-seq, the effective
genome size may be much smaller than the full size. Eff Coverage is the average coverage over the effectively covered fraction of
the genome.
Name | Total nt | Coverage | Effective bp | Effective Perc | Eff Coverage |
NTKO-EZM-K27ac-S | 475,564,531 | 0.15 | 35,683,027 | 1.20% | 13.33 |
NTKO-EZM-K27me3-S | 271,106,014 | 0.09 | 20,987,683 | 0.70% | 12.92 |
NTKO-EZM-K36me2-S | 198,947,022 | 0.06 | 16,625,191 | 0.50% | 11.97 |
NTKO-EZM-K36me3-S | 439,126,480 | 0.14 | 33,389,268 | 1.10% | 13.15 |
NTKO-EZM-K4me1-S | 184,485,156 | 0.06 | 15,801,570 | 0.50% | 11.68 |
NTKO-EZM-K4me3-S | 231,436,479 | 0.07 | 19,389,479 | 0.60% | 11.94 |
NTKO-ctl-K27ac-S | 825,269,505 | 0.27 | 58,327,683 | 1.90% | 14.15 |
NTKO-ctl-K27me3-S | 129,995,196 | 0.04 | 9,137,785 | 0.30% | 14.23 |
NTKO-ctl-K36me2-S | 194,361,091 | 0.06 | 16,507,676 | 0.50% | 11.77 |
NTKO-ctl-K36me3-S | 298,294,204 | 0.10 | 24,230,056 | 0.80% | 12.31 |
NTKO-ctl-K4me1-S | 314,618,439 | 0.10 | 28,760,144 | 0.90% | 10.94 |
NTKO-ctl-K4me3-S | 406,131,149 | 0.13 | 26,658,436 | 0.90% | 15.23 |
TKO-EZM-K27ac-S | 822,449,323 | 0.27 | 56,676,567 | 1.80% | 14.51 |
TKO-EZM-K27me3-S | 108,834,516 | 0.04 | 8,296,817 | 0.30% | 13.12 |
TKO-EZM-K36me2-S | 17,443,320 | 0.01 | 1,419,623 | 0.00% | 12.29 |
TKO-EZM-K36me3-S | 486,516,519 | 0.16 | 37,947,051 | 1.20% | 12.82 |
TKO-EZM-K4me1-S | 29,211,429 | 0.01 | 2,083,375 | 0.10% | 14.02 |
TKO-EZM-K4me3-S | 175,278,122 | 0.06 | 14,923,171 | 0.50% | 11.75 |
TKO-ctl-K27ac-S | 410,136,417 | 0.13 | 31,232,517 | 1.00% | 13.13 |
TKO-ctl-K27me3-S | 120,457,485 | 0.04 | 9,284,984 | 0.30% | 12.97 |
TKO-ctl-K36me2-S | 14,706,606 | 0.00 | 1,030,724 | 0.00% | 14.27 |
TKO-ctl-K36me3-S | 376,634,383 | 0.12 | 34,489,228 | 1.10% | 10.92 |
TKO-ctl-K4me1-S | 42,207,424 | 0.01 | 3,156,584 | 0.10% | 13.37 |
TKO-ctl-K4me3-S | 223,542,198 | 0.07 | 18,230,417 | 0.60% | 12.26 |
Table 7. Genome coverage by sample.
The following table reports the overall and effective genome coverage in each condition.
Name | Total nt | Coverage | Effective bp | Effective Perc | Eff Coverage |
NTKO-EZM-K27ac | 475,564,531 | 0.15 | 35,683,027 | 1.20% | 13.33 |
NTKO-EZM-K27me3 | 271,106,014 | 0.09 | 20,987,683 | 0.70% | 12.92 |
NTKO-EZM-K36me2 | 198,947,022 | 0.06 | 16,625,191 | 0.50% | 11.97 |
NTKO-EZM-K36me3 | 439,126,480 | 0.14 | 33,389,268 | 1.10% | 13.15 |
NTKO-EZM-K4me1 | 184,485,156 | 0.06 | 15,801,570 | 0.50% | 11.68 |
NTKO-EZM-K4me3 | 231,436,479 | 0.07 | 19,389,479 | 0.60% | 11.94 |
NTKO-ctl-K27ac | 825,269,505 | 0.27 | 58,327,683 | 1.90% | 14.15 |
NTKO-ctl-K27me3 | 129,995,196 | 0.04 | 9,137,785 | 0.30% | 14.23 |
NTKO-ctl-K36me2 | 194,361,091 | 0.06 | 16,507,676 | 0.50% | 11.77 |
NTKO-ctl-K36me3 | 298,294,204 | 0.10 | 24,230,056 | 0.80% | 12.31 |
NTKO-ctl-K4me1 | 314,618,439 | 0.10 | 28,760,144 | 0.90% | 10.94 |
NTKO-ctl-K4me3 | 406,131,149 | 0.13 | 26,658,436 | 0.90% | 15.23 |
TKO-EZM-K27ac | 822,449,323 | 0.27 | 56,676,567 | 1.80% | 14.51 |
TKO-EZM-K27me3 | 108,834,516 | 0.04 | 8,296,817 | 0.30% | 13.12 |
TKO-EZM-K36me2 | 17,443,320 | 0.01 | 1,419,623 | 0.00% | 12.29 |
TKO-EZM-K36me3 | 486,516,519 | 0.16 | 37,947,051 | 1.20% | 12.82 |
TKO-EZM-K4me1 | 29,211,429 | 0.01 | 2,083,375 | 0.10% | 14.02 |
TKO-EZM-K4me3 | 175,278,122 | 0.06 | 14,923,171 | 0.50% | 11.75 |
TKO-ctl-K27ac | 410,136,417 | 0.13 | 31,232,517 | 1.00% | 13.13 |
TKO-ctl-K27me3 | 120,457,485 | 0.04 | 9,284,984 | 0.30% | 12.97 |
TKO-ctl-K36me2 | 14,706,606 | 0.00 | 1,030,724 | 0.00% | 14.27 |
TKO-ctl-K36me3 | 376,634,383 | 0.12 | 34,489,228 | 1.10% | 10.92 |
TKO-ctl-K4me1 | 42,207,424 | 0.01 | 3,156,584 | 0.10% | 13.37 |
TKO-ctl-K4me3 | 223,542,198 | 0.07 | 18,230,417 | 0.60% | 12.26 |
Table 8. Genome coverage by condition
|
5. Peak detection (MACS2)
Peak detection was performed using MACS version 2.2.7.1 with the following options: broad=N, model=Y, paired=Y, qvalue=0.05.
The following table shows the number of peaks found for each condition, and their classification. Click on the link in the Peaks column to download the list of peaks in tab-delimited format.
Condition | Total Peaks | Peaks | Actions |
NTKO-EZM-K27ac | 44,694 | NTKO-EZM-K27ac.macs/NTKO-EZM-K27ac_peaks.csv | Create RegionSet |
NTKO-EZM-K27me3 | 43,709 | NTKO-EZM-K27me3.macs/NTKO-EZM-K27me3_peaks.csv | Create RegionSet |
NTKO-EZM-K36me2 | 28,116 | NTKO-EZM-K36me2.macs/NTKO-EZM-K36me2_peaks.csv | Create RegionSet |
NTKO-EZM-K36me3 | 30,826 | NTKO-EZM-K36me3.macs/NTKO-EZM-K36me3_peaks.csv | Create RegionSet |
NTKO-EZM-K4me1 | 37,255 | NTKO-EZM-K4me1.macs/NTKO-EZM-K4me1_peaks.csv | Create RegionSet |
NTKO-EZM-K4me3 | 38,628 | NTKO-EZM-K4me3.macs/NTKO-EZM-K4me3_peaks.csv | Create RegionSet |
NTKO-ctl-K27ac | 51,922 | NTKO-ctl-K27ac.macs/NTKO-ctl-K27ac_peaks.csv | Create RegionSet |
NTKO-ctl-K27me3 | 30,895 | NTKO-ctl-K27me3.macs/NTKO-ctl-K27me3_peaks.csv | Create RegionSet |
NTKO-ctl-K36me2 | 28,670 | NTKO-ctl-K36me2.macs/NTKO-ctl-K36me2_peaks.csv | Create RegionSet |
NTKO-ctl-K36me3 | 26,825 | NTKO-ctl-K36me3.macs/NTKO-ctl-K36me3_peaks.csv | Create RegionSet |
NTKO-ctl-K4me1 | 33,749 | NTKO-ctl-K4me1.macs/NTKO-ctl-K4me1_peaks.csv | Create RegionSet |
NTKO-ctl-K4me3 | 43,249 | NTKO-ctl-K4me3.macs/NTKO-ctl-K4me3_peaks.csv | Create RegionSet |
TKO-EZM-K27ac | 66,215 | TKO-EZM-K27ac.macs/TKO-EZM-K27ac_peaks.csv | Create RegionSet |
TKO-EZM-K27me3 | 21,890 | TKO-EZM-K27me3.macs/TKO-EZM-K27me3_peaks.csv | Create RegionSet |
TKO-EZM-K36me2 | 26,049 | TKO-EZM-K36me2.macs/TKO-EZM-K36me2_peaks.csv | Create RegionSet |
TKO-EZM-K36me3 | 25,080 | TKO-EZM-K36me3.macs/TKO-EZM-K36me3_peaks.csv | Create RegionSet |
TKO-EZM-K4me1 | 13,355 | TKO-EZM-K4me1.macs/TKO-EZM-K4me1_peaks.csv | Create RegionSet |
TKO-EZM-K4me3 | 30,270 | TKO-EZM-K4me3.macs/TKO-EZM-K4me3_peaks.csv | Create RegionSet |
TKO-ctl-K27ac | 42,600 | TKO-ctl-K27ac.macs/TKO-ctl-K27ac_peaks.csv | Create RegionSet |
TKO-ctl-K27me3 | 23,048 | TKO-ctl-K27me3.macs/TKO-ctl-K27me3_peaks.csv | Create RegionSet |
TKO-ctl-K36me2 | 21,102 | TKO-ctl-K36me2.macs/TKO-ctl-K36me2_peaks.csv | Create RegionSet |
TKO-ctl-K36me3 | 45,897 | TKO-ctl-K36me3.macs/TKO-ctl-K36me3_peaks.csv | Create RegionSet |
TKO-ctl-K4me1 | 17,352 | TKO-ctl-K4me1.macs/TKO-ctl-K4me1_peaks.csv | Create RegionSet |
TKO-ctl-K4me3 | 36,745 | TKO-ctl-K4me3.macs/TKO-ctl-K4me3_peaks.csv | Create RegionSet |
Table 9. Classification of peaks in genome regions
The following table provides links to the Pileup, narrowPeaks, and Summits files for each condition. All files are in bedGraph format.
Condition | Num peaks | Pileup | Peaks | Summits |
NTKO-EZM-K27ac | 44,694 | NTKO-EZM-K27ac.macs/NTKO-EZM-K27ac.bedGraph | NTKO-EZM-K27ac.macs/NTKO-EZM-K27ac.npeaks.bedGraph | NTKO-EZM-K27ac.macs/NTKO-EZM-K27ac.summits.bedGraph |
NTKO-EZM-K27me3 | 43,709 | NTKO-EZM-K27me3.macs/NTKO-EZM-K27me3.bedGraph | NTKO-EZM-K27me3.macs/NTKO-EZM-K27me3.npeaks.bedGraph | NTKO-EZM-K27me3.macs/NTKO-EZM-K27me3.summits.bedGraph |
NTKO-EZM-K36me2 | 28,116 | NTKO-EZM-K36me2.macs/NTKO-EZM-K36me2.bedGraph | NTKO-EZM-K36me2.macs/NTKO-EZM-K36me2.npeaks.bedGraph | NTKO-EZM-K36me2.macs/NTKO-EZM-K36me2.summits.bedGraph |
NTKO-EZM-K36me3 | 30,826 | NTKO-EZM-K36me3.macs/NTKO-EZM-K36me3.bedGraph | NTKO-EZM-K36me3.macs/NTKO-EZM-K36me3.npeaks.bedGraph | NTKO-EZM-K36me3.macs/NTKO-EZM-K36me3.summits.bedGraph |
NTKO-EZM-K4me1 | 37,255 | NTKO-EZM-K4me1.macs/NTKO-EZM-K4me1.bedGraph | NTKO-EZM-K4me1.macs/NTKO-EZM-K4me1.npeaks.bedGraph | NTKO-EZM-K4me1.macs/NTKO-EZM-K4me1.summits.bedGraph |
NTKO-EZM-K4me3 | 38,628 | NTKO-EZM-K4me3.macs/NTKO-EZM-K4me3.bedGraph | NTKO-EZM-K4me3.macs/NTKO-EZM-K4me3.npeaks.bedGraph | NTKO-EZM-K4me3.macs/NTKO-EZM-K4me3.summits.bedGraph |
NTKO-ctl-K27ac | 51,922 | NTKO-ctl-K27ac.macs/NTKO-ctl-K27ac.bedGraph | NTKO-ctl-K27ac.macs/NTKO-ctl-K27ac.npeaks.bedGraph | NTKO-ctl-K27ac.macs/NTKO-ctl-K27ac.summits.bedGraph |
NTKO-ctl-K27me3 | 30,895 | NTKO-ctl-K27me3.macs/NTKO-ctl-K27me3.bedGraph | NTKO-ctl-K27me3.macs/NTKO-ctl-K27me3.npeaks.bedGraph | NTKO-ctl-K27me3.macs/NTKO-ctl-K27me3.summits.bedGraph |
NTKO-ctl-K36me2 | 28,670 | NTKO-ctl-K36me2.macs/NTKO-ctl-K36me2.bedGraph | NTKO-ctl-K36me2.macs/NTKO-ctl-K36me2.npeaks.bedGraph | NTKO-ctl-K36me2.macs/NTKO-ctl-K36me2.summits.bedGraph |
NTKO-ctl-K36me3 | 26,825 | NTKO-ctl-K36me3.macs/NTKO-ctl-K36me3.bedGraph | NTKO-ctl-K36me3.macs/NTKO-ctl-K36me3.npeaks.bedGraph | NTKO-ctl-K36me3.macs/NTKO-ctl-K36me3.summits.bedGraph |
NTKO-ctl-K4me1 | 33,749 | NTKO-ctl-K4me1.macs/NTKO-ctl-K4me1.bedGraph | NTKO-ctl-K4me1.macs/NTKO-ctl-K4me1.npeaks.bedGraph | NTKO-ctl-K4me1.macs/NTKO-ctl-K4me1.summits.bedGraph |
NTKO-ctl-K4me3 | 43,249 | NTKO-ctl-K4me3.macs/NTKO-ctl-K4me3.bedGraph | NTKO-ctl-K4me3.macs/NTKO-ctl-K4me3.npeaks.bedGraph | NTKO-ctl-K4me3.macs/NTKO-ctl-K4me3.summits.bedGraph |
TKO-EZM-K27ac | 66,215 | TKO-EZM-K27ac.macs/TKO-EZM-K27ac.bedGraph | TKO-EZM-K27ac.macs/TKO-EZM-K27ac.npeaks.bedGraph | TKO-EZM-K27ac.macs/TKO-EZM-K27ac.summits.bedGraph |
TKO-EZM-K27me3 | 21,890 | TKO-EZM-K27me3.macs/TKO-EZM-K27me3.bedGraph | TKO-EZM-K27me3.macs/TKO-EZM-K27me3.npeaks.bedGraph | TKO-EZM-K27me3.macs/TKO-EZM-K27me3.summits.bedGraph |
TKO-EZM-K36me2 | 26,049 | TKO-EZM-K36me2.macs/TKO-EZM-K36me2.bedGraph | TKO-EZM-K36me2.macs/TKO-EZM-K36me2.npeaks.bedGraph | TKO-EZM-K36me2.macs/TKO-EZM-K36me2.summits.bedGraph |
TKO-EZM-K36me3 | 25,080 | TKO-EZM-K36me3.macs/TKO-EZM-K36me3.bedGraph | TKO-EZM-K36me3.macs/TKO-EZM-K36me3.npeaks.bedGraph | TKO-EZM-K36me3.macs/TKO-EZM-K36me3.summits.bedGraph |
TKO-EZM-K4me1 | 13,355 | TKO-EZM-K4me1.macs/TKO-EZM-K4me1.bedGraph | TKO-EZM-K4me1.macs/TKO-EZM-K4me1.npeaks.bedGraph | TKO-EZM-K4me1.macs/TKO-EZM-K4me1.summits.bedGraph |
TKO-EZM-K4me3 | 30,270 | TKO-EZM-K4me3.macs/TKO-EZM-K4me3.bedGraph | TKO-EZM-K4me3.macs/TKO-EZM-K4me3.npeaks.bedGraph | TKO-EZM-K4me3.macs/TKO-EZM-K4me3.summits.bedGraph |
TKO-ctl-K27ac | 42,600 | TKO-ctl-K27ac.macs/TKO-ctl-K27ac.bedGraph | TKO-ctl-K27ac.macs/TKO-ctl-K27ac.npeaks.bedGraph | TKO-ctl-K27ac.macs/TKO-ctl-K27ac.summits.bedGraph |
TKO-ctl-K27me3 | 23,048 | TKO-ctl-K27me3.macs/TKO-ctl-K27me3.bedGraph | TKO-ctl-K27me3.macs/TKO-ctl-K27me3.npeaks.bedGraph | TKO-ctl-K27me3.macs/TKO-ctl-K27me3.summits.bedGraph |
TKO-ctl-K36me2 | 21,102 | TKO-ctl-K36me2.macs/TKO-ctl-K36me2.bedGraph | TKO-ctl-K36me2.macs/TKO-ctl-K36me2.npeaks.bedGraph | TKO-ctl-K36me2.macs/TKO-ctl-K36me2.summits.bedGraph |
TKO-ctl-K36me3 | 45,897 | TKO-ctl-K36me3.macs/TKO-ctl-K36me3.bedGraph | TKO-ctl-K36me3.macs/TKO-ctl-K36me3.npeaks.bedGraph | TKO-ctl-K36me3.macs/TKO-ctl-K36me3.summits.bedGraph |
TKO-ctl-K4me1 | 17,352 | TKO-ctl-K4me1.macs/TKO-ctl-K4me1.bedGraph | TKO-ctl-K4me1.macs/TKO-ctl-K4me1.npeaks.bedGraph | TKO-ctl-K4me1.macs/TKO-ctl-K4me1.summits.bedGraph |
TKO-ctl-K4me3 | 36,745 | TKO-ctl-K4me3.macs/TKO-ctl-K4me3.bedGraph | TKO-ctl-K4me3.macs/TKO-ctl-K4me3.npeaks.bedGraph | TKO-ctl-K4me3.macs/TKO-ctl-K4me3.summits.bedGraph |
Table 10. Results of peak detection with MACS.
The following histogram shows the distribution of peak locations in the different conditions.
|
6. Fraction of Reads in Peaks
The Fraction of Reads in Peaks (FRIP) is the fraction of reads that fall in regions called as peaks, out of all aligned peaks.
Condition | Reads | Reads in peaks | FRIP |
NTKO-EZM-K27ac | 183,167,435 | 51,272,528 | 27.99% |
NTKO-EZM-K27me3 | 92,967,388 | 11,057,902 | 11.89% |
NTKO-EZM-K36me2 | 105,519,327 | 4,240,492 | 4.02% |
NTKO-EZM-K36me3 | 111,314,900 | 5,969,640 | 5.36% |
NTKO-EZM-K4me1 | 81,419,960 | 4,463,669 | 5.48% |
NTKO-EZM-K4me3 | 102,024,284 | 35,869,517 | 35.16% |
NTKO-ctl-K27ac | 157,224,749 | 39,505,667 | 25.13% |
NTKO-ctl-K27me3 | 114,562,223 | 9,894,108 | 8.64% |
NTKO-ctl-K36me2 | 104,994,142 | 4,097,408 | 3.90% |
NTKO-ctl-K36me3 | 119,811,015 | 6,176,603 | 5.16% |
NTKO-ctl-K4me1 | 117,303,933 | 6,047,048 | 5.16% |
NTKO-ctl-K4me3 | 84,707,936 | 33,876,979 | 39.99% |
TKO-EZM-K27ac | 102,588,260 | 30,606,818 | 29.83% |
TKO-EZM-K27me3 | 82,456,922 | 3,285,922 | 3.99% |
TKO-EZM-K36me2 | 31,262,766 | 1,778,820 | 5.69% |
TKO-EZM-K36me3 | 128,160,133 | 6,263,944 | 4.89% |
TKO-EZM-K4me1 | 30,709,181 | 735,582 | 2.40% |
TKO-EZM-K4me3 | 75,286,568 | 29,453,825 | 39.12% |
TKO-ctl-K27ac | 93,404,077 | 26,225,271 | 28.08% |
TKO-ctl-K27me3 | 92,478,641 | 3,767,134 | 4.07% |
TKO-ctl-K36me2 | 21,213,157 | 1,108,285 | 5.22% |
TKO-ctl-K36me3 | 106,363,921 | 10,739,619 | 10.10% |
TKO-ctl-K4me1 | 42,732,843 | 1,280,118 | 3.00% |
TKO-ctl-K4me3 | 76,896,061 | 24,968,762 | 32.47% |
Table 11. Fraction of Reads in Peaks
|
7. Differential peak analysis
For each contrast, peaks in the two conditions were compared to identify those appearing in only the test or the control, or those significantly higher in the test than in the control (abs(log2(FC)) > 1). The following table reports the number of peaks identified in each group.
Test | Control | Test up | Control up | Unchanged |
NTKO-EZM-K27ac | NTKO-ctl-K27ac | NTKO-EZM-K27ac.vs.NTKO-ctl-K27ac.testup.bed (8,756) | NTKO-EZM-K27ac.vs.NTKO-ctl-K27ac.ctrlup.bed (2,492) | NTKO-EZM-K27ac.vs.NTKO-ctl-K27ac.commpeaks.bed (44,694) |
TKO-EZM-K27ac | TKO-ctl-K27ac | TKO-EZM-K27ac.vs.TKO-ctl-K27ac.testup.bed (17,236) | TKO-EZM-K27ac.vs.TKO-ctl-K27ac.ctrlup.bed (2,768) | TKO-EZM-K27ac.vs.TKO-ctl-K27ac.commpeaks.bed (66,215) |
TKO-ctl-K27ac | NTKO-ctl-K27ac | TKO-ctl-K27ac.vs.NTKO-ctl-K27ac.testup.bed (11,925) | TKO-ctl-K27ac.vs.NTKO-ctl-K27ac.ctrlup.bed (2,105) | TKO-ctl-K27ac.vs.NTKO-ctl-K27ac.commpeaks.bed (42,600) |
NTKO-EZM-K27me3 | NTKO-ctl-K27me3 | NTKO-EZM-K27me3.vs.NTKO-ctl-K27me3.testup.bed (15,345) | NTKO-EZM-K27me3.vs.NTKO-ctl-K27me3.ctrlup.bed (2,974) | NTKO-EZM-K27me3.vs.NTKO-ctl-K27me3.commpeaks.bed (43,709) |
TKO-EZM-K27me3 | TKO-ctl-K27me3 | TKO-EZM-K27me3.vs.TKO-ctl-K27me3.testup.bed (5,909) | TKO-EZM-K27me3.vs.TKO-ctl-K27me3.ctrlup.bed (1,696) | TKO-EZM-K27me3.vs.TKO-ctl-K27me3.commpeaks.bed (21,890) |
TKO-ctl-K27me3 | NTKO-ctl-K27me3 | TKO-ctl-K27me3.vs.NTKO-ctl-K27me3.testup.bed (6,467) | TKO-ctl-K27me3.vs.NTKO-ctl-K27me3.ctrlup.bed (2,050) | TKO-ctl-K27me3.vs.NTKO-ctl-K27me3.commpeaks.bed (23,048) |
NTKO-EZM-K36me3 | NTKO-ctl-K36me3 | NTKO-EZM-K36me3.vs.NTKO-ctl-K36me3.testup.bed (10,612) | NTKO-EZM-K36me3.vs.NTKO-ctl-K36me3.ctrlup.bed (2,689) | NTKO-EZM-K36me3.vs.NTKO-ctl-K36me3.commpeaks.bed (30,826) |
TKO-EZM-K36me3 | TKO-ctl-K36me3 | TKO-EZM-K36me3.vs.TKO-ctl-K36me3.testup.bed (7,516) | TKO-EZM-K36me3.vs.TKO-ctl-K36me3.ctrlup.bed (2,392) | TKO-EZM-K36me3.vs.TKO-ctl-K36me3.commpeaks.bed (25,080) |
TKO-ctl-K36me3 | NTKO-ctl-K36me3 | TKO-ctl-K36me3.vs.NTKO-ctl-K36me3.testup.bed (18,269) | TKO-ctl-K36me3.vs.NTKO-ctl-K36me3.ctrlup.bed (2,639) | TKO-ctl-K36me3.vs.NTKO-ctl-K36me3.commpeaks.bed (45,897) |
NTKO-EZM-K4me1 | NTKO-ctl-K4me1 | NTKO-EZM-K4me1.vs.NTKO-ctl-K4me1.testup.bed (12,491) | NTKO-EZM-K4me1.vs.NTKO-ctl-K4me1.ctrlup.bed (2,740) | NTKO-EZM-K4me1.vs.NTKO-ctl-K4me1.commpeaks.bed (37,255) |
TKO-EZM-K4me1 | TKO-ctl-K4me1 | TKO-EZM-K4me1.vs.TKO-ctl-K4me1.testup.bed (3,019) | TKO-EZM-K4me1.vs.TKO-ctl-K4me1.ctrlup.bed (763) | TKO-EZM-K4me1.vs.TKO-ctl-K4me1.commpeaks.bed (13,355) |
TKO-ctl-K4me1 | NTKO-ctl-K4me1 | TKO-ctl-K4me1.vs.NTKO-ctl-K4me1.testup.bed (4,028) | TKO-ctl-K4me1.vs.NTKO-ctl-K4me1.ctrlup.bed (2,012) | TKO-ctl-K4me1.vs.NTKO-ctl-K4me1.commpeaks.bed (17,352) |
NTKO-EZM-K4me3 | NTKO-ctl-K4me3 | NTKO-EZM-K4me3.vs.NTKO-ctl-K4me3.testup.bed (5,859) | NTKO-EZM-K4me3.vs.NTKO-ctl-K4me3.ctrlup.bed (1,959) | NTKO-EZM-K4me3.vs.NTKO-ctl-K4me3.commpeaks.bed (38,628) |
TKO-EZM-K4me3 | TKO-ctl-K4me3 | TKO-EZM-K4me3.vs.TKO-ctl-K4me3.testup.bed (6,558) | TKO-EZM-K4me3.vs.TKO-ctl-K4me3.ctrlup.bed (1,057) | TKO-EZM-K4me3.vs.TKO-ctl-K4me3.commpeaks.bed (30,270) |
TKO-ctl-K4me3 | NTKO-ctl-K4me3 | TKO-ctl-K4me3.vs.NTKO-ctl-K4me3.testup.bed (5,960) | TKO-ctl-K4me3.vs.NTKO-ctl-K4me3.ctrlup.bed (2,150) | TKO-ctl-K4me3.vs.NTKO-ctl-K4me3.commpeaks.bed (36,745) |
NTKO-EZM-K36me2 | NTKO-ctl-K36me2 | NTKO-EZM-K36me2.vs.NTKO-ctl-K36me2.testup.bed (8,557) | NTKO-EZM-K36me2.vs.NTKO-ctl-K36me2.ctrlup.bed (2,507) | NTKO-EZM-K36me2.vs.NTKO-ctl-K36me2.commpeaks.bed (28,116) |
TKO-EZM-K36me2 | TKO-ctl-K36me2 | TKO-EZM-K36me2.vs.TKO-ctl-K36me2.testup.bed (10,701) | TKO-EZM-K36me2.vs.TKO-ctl-K36me2.ctrlup.bed (778) | TKO-EZM-K36me2.vs.TKO-ctl-K36me2.commpeaks.bed (26,049) |
TKO-ctl-K36me2 | NTKO-ctl-K36me2 | TKO-ctl-K36me2.vs.NTKO-ctl-K36me2.testup.bed (9,270) | TKO-ctl-K36me2.vs.NTKO-ctl-K36me2.ctrlup.bed (1,806) | TKO-ctl-K36me2.vs.NTKO-ctl-K36me2.commpeaks.bed (21,102) |
Table 12. Number of differentially expressed peaks in each contrast.
The following table reports the classification of the number of differentially expressed peaks by gene region in all contrasts.
Test | Control | Group | Upstream | Exon | CodingExon | Intron | Downstream | Intergenic |
NTKO-EZM-K27ac | NTKO-ctl-K27ac | Test up | 13.51% | 7.77% | 2.68% | 42.80% | 7.18% | 26.05% |
NTKO-EZM-K27ac | NTKO-ctl-K27ac | Control up | 9.03% | 4.51% | 2.03% | 26.21% | 4.84% | 53.38% |
NTKO-EZM-K27ac | NTKO-ctl-K27ac | Common | 23.22% | 14.25% | 4.68% | 39.82% | 7.32% | 10.70% |
TKO-EZM-K27ac | TKO-ctl-K27ac | Test up | 11.71% | 7.17% | 2.74% | 46.38% | 8.98% | 23.03% |
TKO-EZM-K27ac | TKO-ctl-K27ac | Control up | 13.83% | 7.62% | 2.37% | 37.51% | 7.02% | 31.65% |
TKO-EZM-K27ac | TKO-ctl-K27ac | Common | 20.64% | 12.11% | 3.93% | 42.13% | 8.01% | 13.18% |
TKO-ctl-K27ac | NTKO-ctl-K27ac | Test up | 14.45% | 8.45% | 3.14% | 46.26% | 8.10% | 19.61% |
TKO-ctl-K27ac | NTKO-ctl-K27ac | Control up | 8.73% | 4.54% | 1.91% | 27.29% | 6.52% | 51.01% |
TKO-ctl-K27ac | NTKO-ctl-K27ac | Common | 24.47% | 13.80% | 4.49% | 39.80% | 7.58% | 9.87% |
NTKO-EZM-K27me3 | NTKO-ctl-K27me3 | Test up | 9.67% | 6.19% | 3.14% | 39.98% | 8.67% | 32.34% |
NTKO-EZM-K27me3 | NTKO-ctl-K27me3 | Control up | 6.85% | 3.30% | 1.55% | 29.82% | 6.09% | 52.40% |
NTKO-EZM-K27me3 | NTKO-ctl-K27me3 | Common | 11.99% | 7.25% | 3.85% | 41.79% | 9.67% | 25.45% |
TKO-EZM-K27me3 | TKO-ctl-K27me3 | Test up | 7.28% | 4.33% | 2.37% | 38.70% | 6.68% | 40.64% |
TKO-EZM-K27me3 | TKO-ctl-K27me3 | Control up | 4.12% | 1.87% | 0.48% | 21.02% | 4.12% | 68.40% |
TKO-EZM-K27me3 | TKO-ctl-K27me3 | Common | 10.85% | 5.51% | 3.18% | 42.09% | 8.36% | 30.00% |
TKO-ctl-K27me3 | NTKO-ctl-K27me3 | Test up | 7.25% | 4.67% | 1.92% | 39.17% | 7.41% | 39.58% |
TKO-ctl-K27me3 | NTKO-ctl-K27me3 | Control up | 4.75% | 2.29% | 1.68% | 21.87% | 3.84% | 65.57% |
TKO-ctl-K27me3 | NTKO-ctl-K27me3 | Common | 10.94% | 5.95% | 2.85% | 40.58% | 9.70% | 29.98% |
NTKO-EZM-K36me3 | NTKO-ctl-K36me3 | Test up | 4.78% | 2.84% | 1.21% | 36.73% | 4.53% | 49.91% |
NTKO-EZM-K36me3 | NTKO-ctl-K36me3 | Control up | 5.25% | 3.59% | 2.27% | 27.94% | 6.26% | 54.69% |
NTKO-EZM-K36me3 | NTKO-ctl-K36me3 | Common | 7.56% | 5.56% | 3.33% | 39.30% | 8.12% | 36.12% |
TKO-EZM-K36me3 | TKO-ctl-K36me3 | Test up | 5.49% | 2.58% | 1.23% | 32.60% | 4.16% | 53.93% |
TKO-EZM-K36me3 | TKO-ctl-K36me3 | Control up | 6.55% | 4.81% | 3.81% | 28.74% | 7.42% | 48.68% |
TKO-EZM-K36me3 | TKO-ctl-K36me3 | Common | 8.87% | 5.22% | 3.21% | 39.72% | 7.28% | 35.71% |
TKO-ctl-K36me3 | NTKO-ctl-K36me3 | Test up | 10.12% | 11.44% | 7.71% | 45.98% | 15.93% | 8.83% |
TKO-ctl-K36me3 | NTKO-ctl-K36me3 | Control up | 4.24% | 2.76% | 1.18% | 22.12% | 4.83% | 64.87% |
TKO-ctl-K36me3 | NTKO-ctl-K36me3 | Common | 10.32% | 12.88% | 9.14% | 44.15% | 17.08% | 6.42% |
NTKO-EZM-K4me1 | NTKO-ctl-K4me1 | Test up | 9.17% | 7.08% | 3.53% | 44.62% | 10.10% | 25.49% |
NTKO-EZM-K4me1 | NTKO-ctl-K4me1 | Control up | 5.68% | 2.42% | 1.24% | 27.37% | 5.16% | 58.12% |
NTKO-EZM-K4me1 | NTKO-ctl-K4me1 | Common | 11.72% | 8.93% | 4.86% | 44.97% | 11.08% | 18.44% |
TKO-EZM-K4me1 | TKO-ctl-K4me1 | Test up | 7.86% | 4.64% | 2.14% | 42.94% | 8.53% | 33.90% |
TKO-EZM-K4me1 | TKO-ctl-K4me1 | Control up | 4.89% | 1.93% | 2.05% | 24.09% | 4.77% | 62.27% |
TKO-EZM-K4me1 | TKO-ctl-K4me1 | Common | 7.37% | 4.29% | 2.68% | 43.03% | 8.18% | 34.45% |
TKO-ctl-K4me1 | NTKO-ctl-K4me1 | Test up | 8.43% | 5.19% | 2.63% | 44.00% | 8.33% | 31.41% |
TKO-ctl-K4me1 | NTKO-ctl-K4me1 | Control up | 3.78% | 1.69% | 1.51% | 20.90% | 3.47% | 68.65% |
TKO-ctl-K4me1 | NTKO-ctl-K4me1 | Common | 10.12% | 4.96% | 3.46% | 39.78% | 8.88% | 32.79% |
NTKO-EZM-K4me3 | NTKO-ctl-K4me3 | Test up | 16.00% | 7.75% | 2.46% | 41.13% | 8.41% | 24.25% |
NTKO-EZM-K4me3 | NTKO-ctl-K4me3 | Control up | 21.12% | 9.92% | 3.36% | 29.00% | 5.93% | 30.68% |
NTKO-EZM-K4me3 | NTKO-ctl-K4me3 | Common | 29.67% | 17.68% | 5.84% | 34.72% | 6.64% | 5.46% |
TKO-EZM-K4me3 | TKO-ctl-K4me3 | Test up | 23.80% | 12.95% | 4.05% | 38.42% | 7.50% | 13.28% |
TKO-EZM-K4me3 | TKO-ctl-K4me3 | Control up | 18.42% | 9.24% | 2.45% | 29.23% | 6.35% | 34.32% |
TKO-EZM-K4me3 | TKO-ctl-K4me3 | Common | 30.14% | 18.45% | 5.98% | 34.32% | 6.33% | 4.79% |
TKO-ctl-K4me3 | NTKO-ctl-K4me3 | Test up | 14.39% | 7.48% | 2.84% | 43.59% | 8.43% | 23.28% |
TKO-ctl-K4me3 | NTKO-ctl-K4me3 | Control up | 23.50% | 12.97% | 3.78% | 31.42% | 5.10% | 23.22% |
TKO-ctl-K4me3 | NTKO-ctl-K4me3 | Common | 29.49% | 18.46% | 5.85% | 34.13% | 6.60% | 5.47% |
NTKO-EZM-K36me2 | NTKO-ctl-K36me2 | Test up | 6.08% | 4.35% | 1.79% | 41.87% | 7.14% | 38.76% |
NTKO-EZM-K36me2 | NTKO-ctl-K36me2 | Control up | 4.17% | 1.55% | 1.17% | 25.26% | 4.24% | 63.62% |
NTKO-EZM-K36me2 | NTKO-ctl-K36me2 | Common | 8.10% | 3.96% | 2.41% | 41.88% | 6.90% | 36.76% |
TKO-EZM-K36me2 | TKO-ctl-K36me2 | Test up | 8.10% | 6.03% | 2.68% | 48.91% | 8.07% | 26.21% |
TKO-EZM-K36me2 | TKO-ctl-K36me2 | Control up | 5.70% | 4.25% | 2.69% | 32.44% | 7.67% | 47.25% |
TKO-EZM-K36me2 | TKO-ctl-K36me2 | Common | 9.03% | 6.51% | 3.19% | 48.77% | 8.66% | 23.83% |
TKO-ctl-K36me2 | NTKO-ctl-K36me2 | Test up | 7.83% | 5.57% | 2.76% | 48.37% | 8.31% | 27.16% |
TKO-ctl-K36me2 | NTKO-ctl-K36me2 | Control up | 3.56% | 1.60% | 0.95% | 20.75% | 3.91% | 69.22% |
TKO-ctl-K36me2 | NTKO-ctl-K36me2 | Common | 8.76% | 4.12% | 3.38% | 45.72% | 7.50% | 30.52% |
Table 13. Location of differential peaks for each contrast.
|
8. Peak detection (HOMER)
Peak finding was performed using HOMER. Three detection types were performed: Peaks, Regions,
and SuperEnhancers. Please see the HOMER documentation for details.
The following table provides links to the bedGraph files for each detection type in each condition, and to an Excel file containing
the results of each detection type split by genomic region (e.g. Promoters, Exons, Introns, Intergenic). The Combined file
contains the results of each detection type in all conditions (one sheet per condition).
Condition | Count | bedGraph | Classified |
Peaks |
NTKO-EZM-K27ac | 6,531 | NTKO-EZM-K27ac.tags.d/peaks.txt | NTKO-EZM-K27ac-peaks-distr.xlsx |
NTKO-EZM-K27me3 | 4 | NTKO-EZM-K27me3.tags.d/peaks.txt | NTKO-EZM-K27me3-peaks-distr.xlsx |
NTKO-EZM-K36me2 | 568 | NTKO-EZM-K36me2.tags.d/peaks.txt | NTKO-EZM-K36me2-peaks-distr.xlsx |
NTKO-EZM-K36me3 | 21 | NTKO-EZM-K36me3.tags.d/peaks.txt | NTKO-EZM-K36me3-peaks-distr.xlsx |
NTKO-EZM-K4me1 | 628 | NTKO-EZM-K4me1.tags.d/peaks.txt | NTKO-EZM-K4me1-peaks-distr.xlsx |
NTKO-EZM-K4me3 | 1,812 | NTKO-EZM-K4me3.tags.d/peaks.txt | NTKO-EZM-K4me3-peaks-distr.xlsx |
NTKO-ctl-K27ac | 4,570 | NTKO-ctl-K27ac.tags.d/peaks.txt | NTKO-ctl-K27ac-peaks-distr.xlsx |
NTKO-ctl-K27me3 | 3,430 | NTKO-ctl-K27me3.tags.d/peaks.txt | NTKO-ctl-K27me3-peaks-distr.xlsx |
NTKO-ctl-K36me2 | 3,592 | NTKO-ctl-K36me2.tags.d/peaks.txt | NTKO-ctl-K36me2-peaks-distr.xlsx |
NTKO-ctl-K36me3 | 2,651 | NTKO-ctl-K36me3.tags.d/peaks.txt | NTKO-ctl-K36me3-peaks-distr.xlsx |
NTKO-ctl-K4me1 | 0 | NTKO-ctl-K4me1.tags.d/peaks.txt | NTKO-ctl-K4me1-peaks-distr.xlsx |
NTKO-ctl-K4me3 | 111 | NTKO-ctl-K4me3.tags.d/peaks.txt | NTKO-ctl-K4me3-peaks-distr.xlsx |
TKO-EZM-K27ac | 1,148 | TKO-EZM-K27ac.tags.d/peaks.txt | TKO-EZM-K27ac-peaks-distr.xlsx |
TKO-EZM-K27me3 | 4,926 | TKO-EZM-K27me3.tags.d/peaks.txt | TKO-EZM-K27me3-peaks-distr.xlsx |
TKO-EZM-K36me2 | 16,976 | TKO-EZM-K36me2.tags.d/peaks.txt | TKO-EZM-K36me2-peaks-distr.xlsx |
TKO-EZM-K36me3 | 18 | TKO-EZM-K36me3.tags.d/peaks.txt | TKO-EZM-K36me3-peaks-distr.xlsx |
TKO-EZM-K4me1 | 15 | TKO-EZM-K4me1.tags.d/peaks.txt | TKO-EZM-K4me1-peaks-distr.xlsx |
TKO-EZM-K4me3 | 4,420 | TKO-EZM-K4me3.tags.d/peaks.txt | TKO-EZM-K4me3-peaks-distr.xlsx |
TKO-ctl-K27ac | 1,303 | TKO-ctl-K27ac.tags.d/peaks.txt | TKO-ctl-K27ac-peaks-distr.xlsx |
TKO-ctl-K27me3 | 4,502 | TKO-ctl-K27me3.tags.d/peaks.txt | TKO-ctl-K27me3-peaks-distr.xlsx |
TKO-ctl-K36me2 | 27,195 | TKO-ctl-K36me2.tags.d/peaks.txt | TKO-ctl-K36me2-peaks-distr.xlsx |
TKO-ctl-K36me3 | 3,211 | TKO-ctl-K36me3.tags.d/peaks.txt | TKO-ctl-K36me3-peaks-distr.xlsx |
TKO-ctl-K4me1 | 13,242 | TKO-ctl-K4me1.tags.d/peaks.txt | TKO-ctl-K4me1-peaks-distr.xlsx |
TKO-ctl-K4me3 | 3,166 | TKO-ctl-K4me3.tags.d/peaks.txt | TKO-ctl-K4me3-peaks-distr.xlsx |
Combined | 104,040 | peaks.xlsx | |
Regions |
NTKO-EZM-K27ac | 8,713 | NTKO-EZM-K27ac.tags.d/regions.txt | NTKO-EZM-K27ac-regions-distr.xlsx |
NTKO-EZM-K27me3 | 7 | NTKO-EZM-K27me3.tags.d/regions.txt | NTKO-EZM-K27me3-regions-distr.xlsx |
NTKO-EZM-K36me2 | 1,671 | NTKO-EZM-K36me2.tags.d/regions.txt | NTKO-EZM-K36me2-regions-distr.xlsx |
NTKO-EZM-K36me3 | 400 | NTKO-EZM-K36me3.tags.d/regions.txt | NTKO-EZM-K36me3-regions-distr.xlsx |
NTKO-EZM-K4me1 | 2,821 | NTKO-EZM-K4me1.tags.d/regions.txt | NTKO-EZM-K4me1-regions-distr.xlsx |
NTKO-EZM-K4me3 | 2,574 | NTKO-EZM-K4me3.tags.d/regions.txt | NTKO-EZM-K4me3-regions-distr.xlsx |
NTKO-ctl-K27ac | 9,314 | NTKO-ctl-K27ac.tags.d/regions.txt | NTKO-ctl-K27ac-regions-distr.xlsx |
NTKO-ctl-K27me3 | 4,753 | NTKO-ctl-K27me3.tags.d/regions.txt | NTKO-ctl-K27me3-regions-distr.xlsx |
NTKO-ctl-K36me2 | 10,941 | NTKO-ctl-K36me2.tags.d/regions.txt | NTKO-ctl-K36me2-regions-distr.xlsx |
NTKO-ctl-K36me3 | 6,494 | NTKO-ctl-K36me3.tags.d/regions.txt | NTKO-ctl-K36me3-regions-distr.xlsx |
NTKO-ctl-K4me1 | 2 | NTKO-ctl-K4me1.tags.d/regions.txt | NTKO-ctl-K4me1-regions-distr.xlsx |
NTKO-ctl-K4me3 | 119 | NTKO-ctl-K4me3.tags.d/regions.txt | NTKO-ctl-K4me3-regions-distr.xlsx |
TKO-EZM-K27ac | 3,425 | TKO-EZM-K27ac.tags.d/regions.txt | TKO-EZM-K27ac-regions-distr.xlsx |
TKO-EZM-K27me3 | 11,528 | TKO-EZM-K27me3.tags.d/regions.txt | TKO-EZM-K27me3-regions-distr.xlsx |
TKO-EZM-K36me2 | 24,692 | TKO-EZM-K36me2.tags.d/regions.txt | TKO-EZM-K36me2-regions-distr.xlsx |
TKO-EZM-K36me3 | 59 | TKO-EZM-K36me3.tags.d/regions.txt | TKO-EZM-K36me3-regions-distr.xlsx |
TKO-EZM-K4me1 | 18 | TKO-EZM-K4me1.tags.d/regions.txt | TKO-EZM-K4me1-regions-distr.xlsx |
TKO-EZM-K4me3 | 5,307 | TKO-EZM-K4me3.tags.d/regions.txt | TKO-EZM-K4me3-regions-distr.xlsx |
TKO-ctl-K27ac | 2,827 | TKO-ctl-K27ac.tags.d/regions.txt | TKO-ctl-K27ac-regions-distr.xlsx |
TKO-ctl-K27me3 | 8,014 | TKO-ctl-K27me3.tags.d/regions.txt | TKO-ctl-K27me3-regions-distr.xlsx |
TKO-ctl-K36me2 | 35,731 | TKO-ctl-K36me2.tags.d/regions.txt | TKO-ctl-K36me2-regions-distr.xlsx |
TKO-ctl-K36me3 | 8,563 | TKO-ctl-K36me3.tags.d/regions.txt | TKO-ctl-K36me3-regions-distr.xlsx |
TKO-ctl-K4me1 | 22,706 | TKO-ctl-K4me1.tags.d/regions.txt | TKO-ctl-K4me1-regions-distr.xlsx |
TKO-ctl-K4me3 | 4,537 | TKO-ctl-K4me3.tags.d/regions.txt | TKO-ctl-K4me3-regions-distr.xlsx |
Combined | 175,216 | regions.xlsx | |
Enhancers |
NTKO-EZM-K27ac | 154 | NTKO-EZM-K27ac.tags.d/superEnhancers.txt | NTKO-EZM-K27ac-enhancers-distr.xlsx |
NTKO-EZM-K27me3 | 3 | NTKO-EZM-K27me3.tags.d/superEnhancers.txt | NTKO-EZM-K27me3-enhancers-distr.xlsx |
NTKO-EZM-K36me2 | 33 | NTKO-EZM-K36me2.tags.d/superEnhancers.txt | NTKO-EZM-K36me2-enhancers-distr.xlsx |
NTKO-EZM-K36me3 | 6 | NTKO-EZM-K36me3.tags.d/superEnhancers.txt | NTKO-EZM-K36me3-enhancers-distr.xlsx |
NTKO-EZM-K4me1 | 20 | NTKO-EZM-K4me1.tags.d/superEnhancers.txt | NTKO-EZM-K4me1-enhancers-distr.xlsx |
NTKO-EZM-K4me3 | 65 | NTKO-EZM-K4me3.tags.d/superEnhancers.txt | NTKO-EZM-K4me3-enhancers-distr.xlsx |
NTKO-ctl-K27ac | 90 | NTKO-ctl-K27ac.tags.d/superEnhancers.txt | NTKO-ctl-K27ac-enhancers-distr.xlsx |
NTKO-ctl-K27me3 | 26 | NTKO-ctl-K27me3.tags.d/superEnhancers.txt | NTKO-ctl-K27me3-enhancers-distr.xlsx |
NTKO-ctl-K36me2 | 28 | NTKO-ctl-K36me2.tags.d/superEnhancers.txt | NTKO-ctl-K36me2-enhancers-distr.xlsx |
NTKO-ctl-K36me3 | 17 | NTKO-ctl-K36me3.tags.d/superEnhancers.txt | NTKO-ctl-K36me3-enhancers-distr.xlsx |
NTKO-ctl-K4me1 | 0 | NTKO-ctl-K4me1.tags.d/superEnhancers.txt | NTKO-ctl-K4me1-enhancers-distr.xlsx |
NTKO-ctl-K4me3 | 9 | NTKO-ctl-K4me3.tags.d/superEnhancers.txt | NTKO-ctl-K4me3-enhancers-distr.xlsx |
TKO-EZM-K27ac | 36 | TKO-EZM-K27ac.tags.d/superEnhancers.txt | TKO-EZM-K27ac-enhancers-distr.xlsx |
TKO-EZM-K27me3 | 61 | TKO-EZM-K27me3.tags.d/superEnhancers.txt | TKO-EZM-K27me3-enhancers-distr.xlsx |
TKO-EZM-K36me2 | 282 | TKO-EZM-K36me2.tags.d/superEnhancers.txt | TKO-EZM-K36me2-enhancers-distr.xlsx |
TKO-EZM-K36me3 | 6 | TKO-EZM-K36me3.tags.d/superEnhancers.txt | TKO-EZM-K36me3-enhancers-distr.xlsx |
TKO-EZM-K4me1 | 6 | TKO-EZM-K4me1.tags.d/superEnhancers.txt | TKO-EZM-K4me1-enhancers-distr.xlsx |
TKO-EZM-K4me3 | 79 | TKO-EZM-K4me3.tags.d/superEnhancers.txt | TKO-EZM-K4me3-enhancers-distr.xlsx |
TKO-ctl-K27ac | 62 | TKO-ctl-K27ac.tags.d/superEnhancers.txt | TKO-ctl-K27ac-enhancers-distr.xlsx |
TKO-ctl-K27me3 | 38 | TKO-ctl-K27me3.tags.d/superEnhancers.txt | TKO-ctl-K27me3-enhancers-distr.xlsx |
TKO-ctl-K36me2 | 470 | TKO-ctl-K36me2.tags.d/superEnhancers.txt | TKO-ctl-K36me2-enhancers-distr.xlsx |
TKO-ctl-K36me3 | 18 | TKO-ctl-K36me3.tags.d/superEnhancers.txt | TKO-ctl-K36me3-enhancers-distr.xlsx |
TKO-ctl-K4me1 | 296 | TKO-ctl-K4me1.tags.d/superEnhancers.txt | TKO-ctl-K4me1-enhancers-distr.xlsx |
TKO-ctl-K4me3 | 109 | TKO-ctl-K4me3.tags.d/superEnhancers.txt | TKO-ctl-K4me3-enhancers-distr.xlsx |
Combined | 1,914 | enhancers.xlsx | |
Table 14. Results of peak detection with HOMER.
The following plots show the distribution of peak locations in the different conditions.
|
9. Differential peak finding
Differential peak finding was performed using the HOMER getDifferentialPeaks command. The following files contain
the peaks showing significant differences in each contrast.
Table 15. Results of differential peak detection with HOMER.
|
10. Motif finding
ChIP-Seq peaks were analyzed with the HOMER findMotifs function. The links in the following table lead to the motif finding report for each condition.
Table 16. Results of motif finding with HOMER.
|
11. MultiQC report
MultiQC is a general Quality Control tool for a large number of bioinformatics pipelines. The report
on this analysis (generated using MultiQC version 1.12) is available here:
MultiQC report
|
12. UCSC hub
UCSC Genome Browser: use the previous link to display the data tracks automatically, or copy the the URL http://licht:licht@lichtlab.cancer.ufl.edu/reports/UTX//NS3143/NS3143/hub.txt and paste it into the "My Hubs" form in this page.
WashU EpiGenome Browser: use the previous link to display the data tracks automatically, or copy the following URL into the "Datahub by URL Link" field: http://licht:licht@lichtlab.cancer.ufl.edu/reports/UTX//NS3143/NS3143/hub.json.
Completed: 9-15-2023@16:37 |
© 2023, A. Riva, University of Florida. |