Schema for T2T Encode - T2T Encode Reanalysis
  Database: hs1    Primary Table: hub_3671779_T2T_Encode_LOPeaks_SJCRH30.H3K36me3 Data last updated: 2022-04-26
Big Bed File Download: /gbdb/hs1/encode/LO_peaks/SJCRH30.H3K36me3.chm13v2.0.bb
Item Count: 67,077
The data is stored in the binary BigBed format.

Format description: Browser Extensible Data
fieldexampledescription
chromchr1Reference sequence chromosome or scaffold
chromStart166187067Start position in chromosome
chromEnd166190640End position in chromosome
field5SJCRH30_H3K36me3.GRCh38p13_peak_4465Undocumented field
field630Undocumented field
field7.Undocumented field
field82.45519Undocumented field
field94.87673Undocumented field
field103.02015Undocumented field

Sample Rows
 
chromchromStartchromEndfield5field6field7field8field9field10
chr1166187067166190640SJCRH30_H3K36me3.GRCh38p13_peak_446530.2.455194.876733.02015
chr1166192431166206241SJCRH30_H3K36me3.GRCh38p13_peak_446624.2.297044.164272.41329
chr1166208740166209576SJCRH30_H3K36me3.GRCh38p13_peak_446716.2.092213.251121.64154
chr1166211061166215275SJCRH30_H3K36me3.GRCh38p13_peak_446818.2.167373.553211.89576
chr1166443199166450709SJCRH30_H3K36me3.GRCh38p13_peak_446923.2.195234.036052.30701
chr1166452972166456055SJCRH30_H3K36me3.GRCh38p13_peak_447022.2.268063.957562.23269
chr1166457232166457530SJCRH30_H3K36me3.GRCh38p13_peak_447110.1.905942.551851.07014
chr1166459917166461089SJCRH30_H3K36me3.GRCh38p13_peak_447214.2.0483.051151.47603
chr1166463250166463653SJCRH30_H3K36me3.GRCh38p13_peak_447315.2.076993.172961.57771
chr1166464908166468483SJCRH30_H3K36me3.GRCh38p13_peak_447425.2.343534.336312.55408

SJCRH30 H3K36me3 hg38LO (hub_3671779_T2T_Encode_LOPeaks_SJCRH30_H3K36me3) 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.