Last updated: 2022-03-16
Checks: 7 0
Knit directory: chipseq-cross-species/
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Unstaged changes:
Deleted: output/qc/H3K4me3_overlap_default.frip
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/mouse_dunnart_data_processing_for_comparison.Rmd) and HTML (docs/mouse_dunnart_data_processing_for_comparison.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 275510f | lecook | 2022-03-16 | wflow_publish(“analysis/mouse_dunnart_data_processing_for_comparison.Rmd”) |
| Rmd | faabd95 | lecook | 2022-03-03 | updated |
| Rmd | 2103ae7 | lecook | 2022-03-03 | updates |
| Rmd | 323d8b6 | lecook | 2022-03-03 | copied scripts over |
| Rmd | ae523af | lecook | 2022-03-02 | fix code formatting for bam coverage rule |
| Rmd | a97d3c5 | lecook | 2022-03-01 | first commit |
| html | 275d229 | lecook | 2022-03-01 | Build site. |
| Rmd | 784c4ec | lecook | 2022-03-01 | update |
| Rmd | bf8fac9 | lecook | 2022-03-01 | updated |
| Rmd | 5fb3661 | lecook | 2022-03-01 | clean up |
| Rmd | c2eeed7 | lecook | 2022-02-28 | debugged |
See mouse_data_ENCODE for details on these samples.
xargs -L 1 curl -O -J -L < ENCODE_files.txt
xargs -L 1 curl -O -J -L < control_files.txtUses samtools and picards MarkDuplicates to remove low quality reads. This is based on and in accordance with the ENCODE Guidelines and pipeline (https://github.com/ENCODE-DCC/chip-seq-pipeline2)
Library Complexity ChIP-seq Standards:
| PBC1 | PBC2 | Bottlenecking level | NRF | Complexity | Flag colors |
|---|---|---|---|---|---|
| < 0.5 | < 1 | Severe | < 0.5 | Concerning | Orange |
| 0.5 ≤ PBC1 < 0.8 | 1 ≤ PBC2 < 3 | Moderate | 0.5 ≤ NRF < 0.8 | Acceptable | Yellow |
| 0.8 ≤ PBC1 < 0.9 | 3 ≤ PBC2 < 10 | Mild | 0.8 ≤ NRF < 0.9 | Compliant | None |
| ≥ 0.9 | ≥ 10 | None | > 0.9 | Ideal | None |
See full snakemake script for details: code/mouse_peak_calling/mouse_H3K4me3 and code/mouse_peak_calling/mouse_H3K27ac
Table. Read alignment quality metrics before and aftering filtering steps
| read counts | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| replicate | antibody | stage | accession ID | bwa alignment |
filtered readŝ |
remove duplicates |
NRF* | PBC1* | PBC2* |
| 1 | H3K27ac | E10.5 | ENCFF213EBC | 86919825 | 74296920 | 61061524 | 0.83 | 0.83 | 5.53 |
| 2 | H3K27ac | E10.5 | ENCFF548BRR | 49113729 | 43572898 | 38069875 | 0.88 | 0.88 | 8.03 |
| 1 | H3K27ac | E11.5 | ENCFF512SFE | 1714339 | 12827968 | 11879316 | 0.93 | 0.93 | 13.76 |
| 2 | H3K27ac | E11.5 | ENCFF515PKL | 18419756 | 13753883 | 11961286 | 0.88 | 0.88 | 7.7 |
| 2 | H3K27ac | E12.5 | ENCFF011NFM | 41510259 | 32754035 | 28442356 | 0.88 | 0.88 | 7.55 |
| 1 | H3K27ac | E13.5 | ENCFF194ORC | 47508791 | 39115139 | 23235076 | 0.64 | 0.62 | 2.49 |
| 2 | H3K27ac | E13.5 | ENCFF290ZNF | 46476048 | 37416425 | 26624266 | 0.74 | 0.73 | 3.52 |
| 1 | H3K27ac | E14.5 | ENCFF327VAO | 37480089 | 30104464 | 19228162 | 0.66 | 0.64 | 2.53 |
| 2 | H3K27ac | E14.5 | ENCFF902HAR | 27840473 | 22156787 | 15203030 | 0.69 | 0.67 | 2.68 |
| 1 | H3K27ac | E15.5 | ENCFF584JFB | 51675307 | 40125566 | 35551034 | 0.9 | 0.9 | 9.61 |
| 2 | H3K27ac | E15.5 | ENCFF707WKL | 38499223 | 30334974 | 27522173 | 0.92 | 0.92 | 11.76 |
| 1 | H3K4me3 | E10.5 | ENCFF124UYX | 74283697 | 65480729 | 47429840 | 0.73 | 0.76 | 4.51 |
| 2 | H3K4me3 | E10.5 | ENCFF045IPK | 39305102 | 34283317 | 27327155 | 0.8 | 0.82 | 5.7 |
| 1 | H3K4me3 | E11.5 | ENCFF760QYZ | 24048599 | 17547752 | 16515484 | 0.95 | 0.95 | 20.21 |
| 2 | H3K4me3 | E11.5 | ENCFF717QDV | 19425608 | 14136366 | 13504654 | 0.96 | 0.97 | 26.71 |
| 1 | H3K4me3 | E12.5 | ENCFF182ZPF | 37674883 | 30140587 | 26489691 | 0.89 | 0.89 | 9.29 |
| 2 | H3K4me3 | E12.5 | ENCFF941QJZ | 38463605 | 29985012 | 26459778 | 0.89 | 0.9 | 9.44 |
| 1 | H3K4me3 | E13.5 | ENCFF485UDC | 47478873 | 38287309 | 33094082 | 0.89 | 0.9 | 10.81 |
| 2 | H3K4me3 | E13.5 | ENCFF124TAB | 47598002 | 38139564 | 33020017 | 0.89 | 0.91 | 11.12 |
| 1 | H3K4me3 | E14.5 | ENCFF724DMU | 25402316 | 18964886 | 17278836 | 0.92 | 0.93 | 13.9 |
| 2 | H3K4me3 | E14.5 | ENCFF665QBJ | 28852674 | 22484958 | 19804325 | 0.9 | 0.9 | 10.56 |
| 1 | H3K4me3 | E15.5 | ENCFF258KCR | 55588923 | 44138244 | 38278946 | 0.89 | 0.91 | 12.05 |
| 2 | H3K4me3 | E15.5 | ENCFF401BKM | 42617927 | 34005723 | 29687861 | 0.9 | 0.91 | 12.13 |
| 1 | input control | E10.5 | ENCFF157KEH | 75962416 | 57382820 | 55915261 | 0.98 | 0.98 | 45.2 |
| 2 | input control | E10.5 | ENCFF825AVI | 70250734 | 53358758 | 51796823 | 0.98 | 0.98 | 38.64 |
| 1 | input control | E11.5 | ENCFF184CUE | 14581637 | 10190363 | 10031334 | 0.99 | 0.99 | 69.67 |
| 2 | input control | E11.5 | ENCFF376FGM | 16001082 | 11239845 | 11033934 | 0.99 | 0.99 | 59.63 |
| 1 | input control | E12.5 | ENCFF203JQV | 74367126 | 54966177 | 52895081 | 0.97 | 0.97 | 29.47 |
| 2 | input control | E12.5 | ENCFF058AUT | 68220307 | 50400902 | 48480815 | 0.97 | 0.97 | 29.1 |
| 1 | input control | E13.5 | ENCFF117QRC | 77084648 | 56275163 | 53582563 | 0.97 | 0.97 | 30.93 |
| 2 | input control | E13.5 | ENCFF248PGK | 66492732 | 48343406 | 46564874 | 0.98 | 0.98 | 38.51 |
| 1 | input control | E14.5 | ENCFF784ORI | 35480589 | 25431770 | 24573359 | 0.97 | 0.97 | 32.34 |
| 2 | input control | E14.5 | ENCFF002HZV | 33021720 | 23658223 | 23199516 | 0.99 | 0.99 | 57.52 |
| 1 | input control | E15.5 | ENCFF727QTS | 72318210 | 51828288 | 50444903 | 0.98 | 0.99 | 52.73 |
| 2 | input control | E15.5 | ENCFF182XFG | 86322714 | 63335464 | 60305840 | 0.97 | 0.97 | 28.35 |
̂ excluded low quality (MAPQ30) and orphaned reads
This is so we can compare to mouse peaks.
Based on https://davemcg.github.io/post/easy-bam-downsampling/ script for doing this.
Run script in the directory with the files you want to subsample.
cd output/bam_files/
bash subsample.shplotCorrelation computes the overall similarity between two or more files based on read coverage (or other scores) within genomic regions.
This helps to determine whether the different sample types can be separated, i.e., samples of different conditions are expected to be more dissimilar to each other than replicates within the same condition.
This tool samples indexed BAM files and plots a profile of cumulative read coverages for each. All reads overlapping a window (bin) of the specified length are counted; these counts are sorted and the cumulative sum is finally plotted.
It determines how well the signal in the ChIP-seq sample can be differentiated from the background distribution of reads in the control sample.
An ideal input with perfect uniform distribution of reads along the genome (i.e. without enrichments in open chromatin etc.) and infinite sequencing coverage should generate a straight diagonal line. A very specific and strong ChIP enrichment will be indicated by a prominent and steep rise of the cumulative sum towards the highest rank. This means that a big chunk of reads from the ChIP sample is located in few bins which corresponds to high, narrow enrichments typically seen for transcription factors.
Information from: https://docs.google.com/document/d/1lG_Rd7fnYgRpSIqrIfuVlAz2dW1VaSQThzk836Db99c/edit
This set of programs operate on mapped Illumina single-end read datasets in tagAlign or BAM format. Because my data is paired-end I need to only use the forward read.
A high-quality ChIP-seq experiment will produce significant clustering of enriched DNA sequence tags/reads at locations bound by the protein of interest; the expectation is that we can observe a bimodal enrichment of reads (sequence tags) on both the forward and the reverse strands.
Cross-correlation analysis is done on a filtered (but not-deduped) and subsampled BAM. There is a special fastq trimming for cross-correlation analysis. Read1 fastq is trimmed to 50bp first using trimfastq.py (last modified 2017/11/08, https://github.com/ENCODE-DCC/chip-seq-pipeline2/blob/master/src/trimfastq.py). And then it is separately mapped as SE. Reads are filtered but duplicates are not removed. Then 15 million reads are randomly sampled and used for cross-correlation analysis.
ENCODE standards:
| col. | abbreviation | description |
|---|---|---|
| 1 | Filename | tagAlign/BAM filename |
| 2 | numReads | effective sequencing depth i.e. total number of mapped reads in input file |
| 3 | estFragLen | comma separated strand cross-correlation peak(s) in decreasing order of correlation. |
| 4 | corr_estFragLen | comma separated strand cross-correlation value(s) in decreasing order (COL2 follows the same order) |
| 5 | phantomPeak | Read length/phantom peak strand shift |
| 6 | corr_phantomPeak | Correlation value at phantom peak |
| 7 | argmin_corr | strand shift at which cross-correlation is lowest |
| 8 | min_corr | minimum value of cross-correlation |
| 9 | NSC | Normalized strand cross-correlation coefficient (NSC) = COL4 / COL8 |
| 10 | RSC | Relative strand cross-correlation coefficient (RSC) = (COL4 - COL8) / (COL6 - COL8) |
| 11 | QualityTag | Quality tag based on thresholded RSC (codes= -2:veryLow, -1:Low, 0:Medium, 1:High, 2:veryHigh) |
NSC; NSC>1.1 (higher values indicate more enrichment; 1 = no enrichment)
RSC; RSC>0.8 (0 = no signal; <1 low quality ChIP; >1 high enrichment
Quality tag based on thresholded RSC (codes: -2:veryLow,-1:Low,0:Medium,1:High; 2:veryHigh)
Table. Peak calling quality metrics for mouse ChIP-seq peaks after peak calling with MACS2
replicate |
antibody | stage | accession ID | number of peaks |
FRiP ̂ | NSC* | RSC* | Quality Tag* |
% replicate reproducibility |
number of consensus peaks |
FRiP^ for consensus peaks |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | H3K27ac | E10.5 | ENCFF213EBC | 61169 | 0.12 | 1.11 | 1.15 | 1 | 45.27 | 27688 | 0.14 |
| 2 | H3K27ac | E10.5 | ENCFF548BRR | 80654 | 0.19 | 1.19 | 1.23 | 1 | 34.33 | ||
| 1 | H3K27ac | E11.5 | ENCFF512SFE | 25352 | 0.07 | 1.08 | 1.61 | 2 | 47.93 | 12149 | 0.06 |
| 2 | H3K27ac | E11.5 | ENCFF515PKL | 23732 | 0.06 | 1.09 | 1.97 | 2 | 51.2 | ||
| 1 | H3K27ac | E12.5 | ENCFF394TZN | 27242 | 0.07 | 1.08 | 1.59 | 2 | 58.17 | 15845 | 0.08 |
| 2 | H3K27ac | E12.5 | ENCFF011NFM | 62319 | 0.11 | 1.09 | 1.49 | 1 | 25.43 | ||
| 1 | H3K27ac | E13.5 | ENCFF194ORC | 85874 | 0.18 | 1.19 | 2.14 | 2 | 35.72 | 30671 | 0.13 |
| 2 | H3K27ac | E13.5 | ENCFF290ZNF | 71246 | 0.13 | 1.13 | 2.05 | 2 | 43.05 | ||
| 1 | H3K27ac | E14.5 | ENCFF327VAO | 45785 | 0.15 | 1.19 | 1.65 | 2 | 48.56 | 22232 | 0.14 |
| 2 | H3K27ac | E14.5 | ENCFF902HAR | 44042 | 0.14 | 1.16 | 1.72 | 2 | 50.48 | ||
| 1 | H3K27ac | E15.5 | ENCFF584JFB | 35724 | 0.09 | 1.08 | 1.49 | 1 | 51.08 | 18246 | 0.09 |
| 2 | H3K27ac | E15.5 | ENCFF707WKL | 37600 | 0.1 | 1.1 | 1.54 | 2 | 48.53 | ||
| 1 | H3K4me3 | E10.5 | ENCFF124UYX | 29478 | 0.44 | 2.28 | 1.12 | 1 | 70.77 | 20860 | 0.47 |
| 2 | H3K4me3 | E10.5 | ENCFF045IPK | 26820 | 0.49 | 2.47 | 1.15 | 1 | 77.78 | ||
| 1 | H3K4me3 | E11.5 | ENCFF760QYZ | 28388 | 0.34 | 1.86 | 1.25 | 1 | 66.43 | 18857 | 0.33 |
| 2 | H3K4me3 | E11.5 | ENCFF717QDV | 28368 | 0.33 | 1.81 | 1.24 | 1 | 66.48 | ||
| 1 | H3K4me3 | E12.5 | ENCFF182ZPF | 29466 | 0.33 | 1.93 | 1.21 | 1 | 66.35 | 19549 | 0.32 |
| 2 | H3K4me3 | E12.5 | ENCFF941QJZ | 30868 | 0.31 | 1.67 | 1.21 | 1 | 63.34 | ||
| 1 | H3K4me3 | E13.5 | ENCFF485UDC | 29715 | 0.4 | 2.16 | 1.24 | 1 | 69.78 | 20734 | 0.41 |
| 2 | H3K4me3 | E13.5 | ENCFF124TAB | 29547 | 0.41 | 2.19 | 1.24 | 1 | 70.18 | ||
| 1 | H3K4me3 | E14.5 | ENCFF724DMU | 24250 | 0.5 | 2.34 | 1.26 | 1 | 81.08 | 19660 | 0.53 |
| 2 | H3K4me3 | E14.5 | ENCFF665QBJ | 25084 | 0.55 | 2.54 | 1.26 | 1 | 78.38 | ||
| 1 | H3K4me3 | E15.5 | ENCFF258KCR | 23365 | 0.36 | 2.25 | 1.29 | 1 | 80.11 | 18717 | 0.39 |
| 2 | H3K4me3 | E15.5 | ENCFF401BKM | 23920 | 0.42 | 2.47 | 1.33 | 1 | 78.25 |
* computed from 15M reads subsampled ̂ fraction of reads in peaks
echo "Number of peaks A3 H3K27ac dunnart" | less output/peaks/A-3_H3K27ac_vs_A-1_input_macs2_default_dunnart_downSampled_peaks.narrowPeak | wc -l
echo "Number of peaks A2 H3K4me3 dunnart" | less output/peaks/A-2_H3K4me3_vs_A-1_input_macs2_default_dunnart_downSampled_peaks.narrowPeak | wc -l
echo "Number of peaks B3 H3K27ac dunnart" | less output/peaks/B-3_H3K27ac_vs_B-1_input_macs2_default_dunnart_downSampled_peaks.narrowPeak | wc -l
echo "Number of peaks B2 H3K4me3 dunnart" | less output/peaks/B-2_H3K4me3_vs_B-1_input_macs2_default_dunnart_downSampled_peaks.narrowPeak | wc -l74012
51122
78381
52680H3K4me3
echo "Number of peaks rep 1 E10.5 H3K4me3" | less output/peaks/ENCFF124UYX_vs_ENCFF157KEH_E10.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E10.5 H3K4me3" | less output/peaks/ENCFF045IPK_vs_ENCFF825AVI_E10.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E11.5 H3K4me3" | less output/peaks/ENCFF760QYZ_vs_ENCFF184CUE_E11.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E11.5 H3K4me3" | less output/peaks/ENCFF717QDV_vs_ENCFF376FGM_E11.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E12.5 H3K4me3" | less output/peaks/ENCFF941QJZ_vs_ENCFF058AUT_E12.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E12.5 H3K4me3" | less output/peaks/ENCFF182ZPF_vs_ENCFF203JQV_E12.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E13.5 H3K4me3" | less output/peaks/ENCFF485UDC_vs_ENCFF117QRC_E13.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E13.5 H3K4me3" | less output/peaks/ENCFF124TAB_vs_ENCFF248PGK_E13.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E14.5 H3K4me3" | less output/peaks/ENCFF665QBJ_vs_ENCFF002HZV_E14.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E14.5 H3K4me3" | less output/peaks/ENCFF724DMU_vs_ENCFF784ORI_E14.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E15.5 H3K4me3" | less output/peaks/ENCFF401BKM_vs_ENCFF182XFG_E15.5_H3K4me3_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E15.5 H3K4me3" | less output/peaks/ENCFF258KCR_vs_ENCFF727QTS_E15.5_H3K4me3_macs2_peaks.narrowPeak | wc -l55445
38397
22460
24565
31761
30108
31939
31198
29300
27830
29726
30338H3K27ac
echo "Number of peaks rep 1 E10.5 H3K27ac" | less output/peaks/ENCFF213EBC_vs_ENCFF157KEH_E10.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E10.5 H3K27ac" | less output/peaks/ENCFF548BRR_vs_ENCFF825AVI_E10.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E11.5 H3K27ac" | less output/peaks/ENCFF512SFE_vs_ENCFF184CUE_E11.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E11.5 H3K27ac" | less output/peaks/ENCFF515PKL_vs_ENCFF376FGM_E11.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E12.5 H3K27ac" | less output/peaks/ENCFF011NFM_vs_ENCFF058AUT_E12.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E12.5 H3K27ac" | less output/peaks/ENCFF394TZN_vs_ENCFF203JQV_E12.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E13.5 H3K27ac" | less output/peaks/ENCFF194ORC_vs_ENCFF117QRC_E13.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E13.5 H3K27ac" | less output/peaks/ENCFF290ZNF_vs_ENCFF248PGK_E13.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E14.5 H3K27ac" | less output/peaks/ENCFF902HAR_vs_ENCFF002HZV_E14.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E14.5 H3K27ac" | less output/peaks/ENCFF327VAO_vs_ENCFF784ORI_E14.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 1 E15.5 H3K27ac" | less output/peaks/ENCFF707WKL_vs_ENCFF182XFG_E15.5_H3K27ac_macs2_peaks.narrowPeak | wc -l
echo "Number of peaks rep 2 E15.5 H3K27ac" | less output/peaks/ENCFF584JFB_vs_ENCFF727QTS_E15.5_H3K27ac_macs2_peaks.narrowPeak | wc -l85382
129598
34848
24298
93296
93314
108905
109580
85604
85427
106242
107377echo "Number of consensus H3K4me3 dunnart peaks" | less output/peaks/H3K4me3_overlap_default_dunnart_downSampled_peaks.narrowPeak | wc -l
echo "Number of consensus H3K27ac dunnart peaks" | less less output/peaks/H3K27ac_overlap_default_dunnart_downSampled_peaks.narrowPeak | wc -l27902
less: No such file or directory
40610echo "Number of consensus H3K4me3 mouse E10.5 peaks" | less output/peaks/H3K4me3_E10.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K4me3 mouse E11.5 peaks" | less output/peaks/H3K4me3_E11.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K4me3 mouse E12.5 peaks" | less output/peaks/H3K4me3_E12.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K4me3 mouse E13.5 peaks" | less output/peaks/H3K4me3_E13.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K4me3 mouse E14.5 peaks" | less output/peaks/H3K4me3_E14.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K4me3 mouse E15.5 peaks" | less output/peaks/H3K4me3_E15.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E10.5 peaks" | less output/peaks/H3K27ac_E10.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E11.5 peaks" | less output/peaks/H3K27ac_E11.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E12.5 peaks" | less output/peaks/H3K27ac_E12.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E13.5 peaks" | less output/peaks/H3K27ac_E13.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E14.5 peaks" | less output/peaks/H3K27ac_E14.5_overlap.narrowPeak | wc -l
echo "Number of consensus H3K27ac mouse E15.5 peaks" | less output/peaks/H3K27ac_E15.5_overlap.narrowPeak | wc -l28512
18112
21756
23929
22102
23375
52138
13996
40281
51183
40264
52152Find uniquely H3K4me3 sites (i.e. peaks that don’t overlap with H3K27ac):
conda activate chip
bedtools intersect -v -a output/peaks/H3K4me3_E10.5_overlap.narrowPeak -b output/peaks/H3K27ac_E10.5_overlap.narrowPeak > output/peaks/H3K4me3_E10.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_E11.5_overlap.narrowPeak -b output/peaks/H3K27ac_E11.5_overlap.narrowPeak > output/peaks/H3K4me3_E11.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_E12.5_overlap.narrowPeak -b output/peaks/H3K27ac_E12.5_overlap.narrowPeak > output/peaks/H3K4me3_E12.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_E13.5_overlap.narrowPeak -b output/peaks/H3K27ac_E13.5_overlap.narrowPeak > output/peaks/H3K4me3_E13.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_E14.5_overlap.narrowPeak -b output/peaks/H3K27ac_E14.5_overlap.narrowPeak > output/peaks/H3K4me3_E14.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_E15.5_overlap.narrowPeak -b output/peaks/H3K27ac_E15.5_overlap.narrowPeak > output/peaks/H3K4me3_E15.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K4me3_overlap_default_dunnart_downSampled_peaks.narrowPeak -b output/peaks/H3K27ac_overlap_default_dunnart_downSampled_peaks.narrowPeak > output/peaks/H3K4me3_only_dunnart_downSampled.narrowPeakFind unique H3K27ac sites (i.e. peaks that don’t overlap with H3K4me3):
bedtools intersect -v -a output/peaks/H3K27ac_E10.5_overlap.narrowPeak -b output/peaks/H3K4me3_E10.5_overlap.narrowPeak > output/peaks/H3K27ac_E10.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_E11.5_overlap.narrowPeak -b output/peaks/H3K4me3_E11.5_overlap.narrowPeak > output/peaks/H3K27ac_E11.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_E12.5_overlap.narrowPeak -b output/peaks/H3K4me3_E12.5_overlap.narrowPeak > output/peaks/H3K27ac_E12.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_E13.5_overlap.narrowPeak -b output/peaks/H3K4me3_E13.5_overlap.narrowPeak > output/peaks/H3K27ac_E13.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_E14.5_overlap.narrowPeak -b output/peaks/H3K4me3_E14.5_overlap.narrowPeak > output/peaks/H3K27ac_E14.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_E15.5_overlap.narrowPeak -b output/peaks/H3K4me3_E15.5_overlap.narrowPeak > output/peaks/H3K27ac_E15.5_only.narrowPeak
bedtools intersect -v -a output/peaks/H3K27ac_overlap_default_dunnart_downSampled_peaks.narrowPeak -b output/peaks/H3K4me3_overlap_default_dunnart_downSampled_peaks.narrowPeak > output/peaks/H3K27ac_only_dunnart_downSampled.narrowPeakFind peaks common between H3K27ac & H3K4me3 with a reciprocal overlap of at least 50%.
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E10.5_overlap.narrowPeak -b output/peaks/H3K27ac_E10.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E10.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E11.5_overlap.narrowPeak -b output/peaks/H3K27ac_E11.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E11.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E12.5_overlap.narrowPeak -b output/peaks/H3K27ac_E12.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E12.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E13.5_overlap.narrowPeak -b output/peaks/H3K27ac_E13.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E13.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E14.5_overlap.narrowPeak -b output/peaks/H3K27ac_E14.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E14.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_E15.5_overlap.narrowPeak -b output/peaks/H3K27ac_E15.5_overlap.narrowPeak > output/peaks/H3K4me3_and_H3K27ac_E15.5.narrowPeak
bedtools intersect -f 0.5 -r -a output/peaks/H3K4me3_overlap_default_dunnart_downSampled_peaks.narrowPeak -b output/peaks/H3K27ac_overlap_default_dunnart_downSampled_peaks.narrowPeak > output/peaks/H3K4me3_H3K27ac_dunnart_downSampled.narrowPeakCombine peak files
cat output/peaks/H3K4me3_E10.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E10.5.narrowPeak | sort -k 4,4 > output/peaks/E10.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_E11.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E11.5.narrowPeak | sort -k 4,4 > output/peaks/E11.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_E12.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E12.5.narrowPeak | sort -k 4,4 > output/peaks/E12.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_E13.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E13.5.narrowPeak | sort -k 4,4 > output/peaks/E13.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_E14.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E14.5.narrowPeak | sort -k 4,4 > output/peaks/E14.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_E15.5_only.narrowPeak output/peaks/H3K4me3_and_H3K27ac_E15.5.narrowPeak | sort -k 4,4 > output/peaks/E15.5_promoter_peaks.narrowPeak
cat output/peaks/H3K4me3_only_dunnart_downSampled.narrowPeak output/peaks/H3K4me3_H3K27ac_dunnart_downSampled.narrowPeak| sort -k 4,4 > output/peaks/dunnart_downSampled_promoter_peaks.narrowPeak
cat output/peaks/H3K27ac_E10.5_only.narrowPeak | sort -k 4,4 > output/peaks/E10.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_E11.5_only.narrowPeak | sort -k 4,4 > output/peaks/E11.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_E12.5_only.narrowPeak | sort -k 4,4 > output/peaks/E12.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_E13.5_only.narrowPeak | sort -k 4,4 > output/peaks/E13.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_E14.5_only.narrowPeak | sort -k 4,4 > output/peaks/E14.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_E15.5_only.narrowPeak | sort -k 4,4 > output/peaks/E15.5_enhancer_peaks.narrowPeak
cat output/peaks/H3K27ac_only_dunnart_downSampled.narrowPeak | sort -k 4,4 > output/peaks/dunnart_downSampled_enhancer_peaks.narrowPeak
sessionInfo()R version 4.1.0 (2021-05-18)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Red Hat Enterprise Linux
Matrix products: default
BLAS/LAPACK: /usr/local/easybuild-2019/easybuild/software/compiler/gcc/10.2.0/openblas/0.3.12/lib/libopenblas_haswellp-r0.3.12.so
locale:
[1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] workflowr_1.7.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.8 jquerylib_0.1.4 pillar_1.6.1 compiler_4.1.0
[5] bslib_0.2.5.1 later_1.2.0 git2r_0.28.0 tools_4.1.0
[9] getPass_0.2-2 digest_0.6.27 jsonlite_1.7.2 evaluate_0.14
[13] lifecycle_1.0.1 tibble_3.1.2 pkgconfig_2.0.3 rlang_1.0.2
[17] cli_2.5.0 rstudioapi_0.13 yaml_2.2.1 xfun_0.23
[21] httr_1.4.2 stringr_1.4.0 knitr_1.33 sass_0.4.0
[25] fs_1.5.0 vctrs_0.3.8 rprojroot_2.0.2 glue_1.4.2
[29] R6_2.5.0 processx_3.5.2 fansi_0.5.0 rmarkdown_2.8
[33] callr_3.7.0 magrittr_2.0.1 whisker_0.4 ps_1.6.0
[37] promises_1.2.0.1 ellipsis_0.3.2 htmltools_0.5.1.1 httpuv_1.6.1
[41] utf8_1.2.1 stringi_1.6.2 crayon_1.4.1