Schema for T2T Encode - T2T Encode Reanalysis
  Database: hs1    Primary Table: hub_567047_T2T_Encode_LOPeaks_C4-2B.CTCF Data last updated: 2022-04-26
Big Bed File Download: /gbdb/hs1/encode/LO_peaks/C4-2B.CTCF.chm13v2.0.bb
Item Count: 56,423
The data is stored in the binary BigBed format.

Format description: Browser Extensible Data
fieldexampledescription
chromchr1Reference sequence chromosome or scaffold
chromStart165646669Start position in chromosome
chromEnd165647377End position in chromosome
field5C4-2B_CTCF.GRCh38p13_peak_3401Undocumented field
field6567Undocumented field
field7.Undocumented field
field810.4738Undocumented field
field959.0651Undocumented field
field1056.7775Undocumented field
field11321Undocumented field

Sample Rows
 
chromchromStartchromEndfield5field6field7field8field9field10field11
chr1165646669165647377C4-2B_CTCF.GRCh38p13_peak_3401567.10.473859.065156.7775321
chr1165700471165700993C4-2B_CTCF.GRCh38p13_peak_3402161.5.1312818.21916.1308161
chr1165779550165780253C4-2B_CTCF.GRCh38p13_peak_3403757.12.568578.117175.7704354
chr1165824686165825831C4-2B_CTCF.GRCh38p13_peak_34044367.42.7577439.829436.728526
chr1166022708166023306C4-2B_CTCF.GRCh38p13_peak_3405271.6.7771529.263727.1016360
chr1166076491166077123C4-2B_CTCF.GRCh38p13_peak_3406545.7.8096956.866854.5878239
chr1166131757166132234C4-2B_CTCF.GRCh38p13_peak_3407199.5.4718522.032819.916222
chr1166159624166160273C4-2B_CTCF.GRCh38p13_peak_3408227.6.1610524.89822.7613307
chr1166168024166168971C4-2B_CTCF.GRCh38p13_peak_34092915.26.8424294.408291.596393
chr1166171305166171800C4-2B_CTCF.GRCh38p13_peak_3410185.5.2108620.688418.5816208

C4-2B CTCF hg38LO (hub_567047_T2T_Encode_LOPeaks_C4-2B_CTCF) 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.