Schema for T2T Encode - T2T Encode Reanalysis
  Database: hs1    Primary Table: hub_567047_T2T_Encode_LOPeaks_MG63.H3K27me3 Data last updated: 2022-04-26
Big Bed File Download: /gbdb/hs1/encode/LO_peaks/MG63.H3K27me3.chm13v2.0.bb
Item Count: 45,199
The data is stored in the binary BigBed format.

Format description: Browser Extensible Data
fieldexampledescription
chromchr1Reference sequence chromosome or scaffold
chromStart165625589Start position in chromosome
chromEnd165626144End position in chromosome
field5MG63_H3K27me3.GRCh38p13_peak_2958Undocumented field
field614Undocumented field
field7.Undocumented field
field82.22532Undocumented field
field93.66833Undocumented field
field101.48773Undocumented field

Sample Rows
 
chromchromStartchromEndfield5field6field7field8field9field10
chr1165625589165626144MG63_H3K27me3.GRCh38p13_peak_295814.2.225323.668331.48773
chr1165633275165633878MG63_H3K27me3.GRCh38p13_peak_295915.2.233143.749421.55683
chr1165666429165668134MG63_H3K27me3.GRCh38p13_peak_296012.2.093563.262141.20525
chr1165679397165680447MG63_H3K27me3.GRCh38p13_peak_296110.2.064513.137391.09608
chr1165699931165700931MG63_H3K27me3.GRCh38p13_peak_296213.2.18793.501531.35129
chr1165824058165824373MG63_H3K27me3.GRCh38p13_peak_296313.2.1233.401841.30393
chr1165825652165825974MG63_H3K27me3.GRCh38p13_peak_296417.2.180374.028491.78182
chr1165843811165844727MG63_H3K27me3.GRCh38p13_peak_296511.2.097283.24011.18124
chr1165929699165930216MG63_H3K27me3.GRCh38p13_peak_296610.2.006693.101331.08401
chr1165967766165968651MG63_H3K27me3.GRCh38p13_peak_296712.2.099813.355391.26721

MG63 H3K27me3 hg38LO (hub_567047_T2T_Encode_LOPeaks_MG63_H3K27me3) Track Description
 

Description

These tracks represent a reanalysis of ENCODE data against the T2T chm13 genome. All ChIP-seq experiments with pair-end data and read lengths of 100bp or greater are included.

Track types include:

  • Coverage pileups of mapped and filtered reads
  • Enrichment of mapped reads relative to a control
  • ChIP-seq peaks as called by MACS2
  • ChIP-seq peaks as called by MACS2 in GRCh38 and lifted over to chm13

Methods

Prior to mapping, reads originating from a single library were combined. Reads were mapped with Bowtie2 (v2.4.1) as paired-end with the arguments "--no-discordant --no-mixed --very-sensitive --no-unal --omit-sec-seq --xeq --reorder". Alignments were filtered using SAMtools (v1.10) using the arguments "-F 1804 -f 2 -q 2" to remove unmapped or single end mapped reads and those with a mapping quality score less than 2. PCR duplicates were identified and removed with the Picard tools "mark duplicates" command (v2.22.1) and the arguments "VALIDATION_STRINGENCY=LENIENT ASSUME_SORT_ORDER=queryname REMOVE_DUPLICATES = true".

Alignments were then filtered for the presence of unique k-mers. Specifically, for each alignment, reference sequences aligned with template ends were compared to a database of minimum unique k-mer lengths. The size of the k-mers in the k-mer filtering step are dependent on the length of the mapped reference sequence. Alignments were discarded if no unique k-mers occurred in either end of the read. The minimum unique k-mer length database was generated using scripts found here. Alignments from replicates were then pooled.

Bigwig coverage tracks were created using deepTools bamCoverage (v3.4.3) with a bin size of 1bp and default for all other parameters. Enrichment tracks were created using deepTools bamCompare with a bin size of 50bp, a pseudo-count of 1, and excluding bins with zero counts in both target and control tracks.

Peak calls were made using MACS2 (v2.2.7.1) with default parameters and estimated genome sizes 3.03e9 and 2.79e9 for chm13 and GRCh38, respectively. GRCh38 peak calls were lifted over to chm13 using the UCSC liftOver utility, the chain file created by the T2T consortium, and the parameter "-minMatch=0.2".

Credits

Data were processed by Michael Sauria at Johns Hopkins University. For inquiries, please contact us at the following address: msauria@jhu.edu

References

Gershman A, Sauria MEG, Guitart X, Vollger MR, Hook PW, Hoyt SJ, Jain M, Shumate A, Razaghi R, Koren S, Altemose N, Caldas GV, Logsdon GA, Rhie A, Eichler EE, Schatz MC, O'Neill RJ, Phillippy AM, Miga KH, Timp W. Epigenetic patterns in a complete human genome. Science. 2022 Apr;376(6588):eabj5089. doi: 10.1126/science.abj5089. Epub 2022 Apr 1. PMID: 35357915.