2020
DOI: 10.1093/bioinformatics/btaa692
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pyGenomeTracks: reproducible plots for multivariate genomic datasets 

Abstract: Motivation Generating publication ready plots to display multiple genomic tracks can pose a serious challenge. Making desirable and accurate figures requires considerable effort. This is usually done by hand or by using a vector graphic software. Results pyGenomeTracks (PGT) is a modular plotting tool that easily combines multiple tracks. It enables a reproducible and standardized generation of highly customizable and publica… Show more

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Cited by 281 publications
(223 citation statements)
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“…The profiles were smoothened using a window size of 11 fragments. The track profiles were obtained using pygenometracks ( 52 ). To quantify the contacts with enhancers, a region of interactions around each of them was defined based on the peak calling (wSize = 11, qWd = 1.5, qWr = 0.6) obtained by peakC ( 53 ) on the wild-type 4C-seq tracks of Hoxd11 (CS39, chr2:75128401–75162753; CS93, chr2:75194928–75211234, and CS65, chr2:75420048–75444960), Hoxd9 (ELCR2, chr2:74925621–74939634), and Hoxd4 (ELCR3, chr2:75081283–75094718).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The profiles were smoothened using a window size of 11 fragments. The track profiles were obtained using pygenometracks ( 52 ). To quantify the contacts with enhancers, a region of interactions around each of them was defined based on the peak calling (wSize = 11, qWd = 1.5, qWr = 0.6) obtained by peakC ( 53 ) on the wild-type 4C-seq tracks of Hoxd11 (CS39, chr2:75128401–75162753; CS93, chr2:75194928–75211234, and CS65, chr2:75420048–75444960), Hoxd9 (ELCR2, chr2:74925621–74939634), and Hoxd4 (ELCR3, chr2:75081283–75094718).…”
Section: Methodsmentioning
confidence: 99%
“…In order to display the linear distances of the matrices, the virtual Hi-C output text file was converted to a cool file using a custom python script ( https://github.com/lldelisle/scriptsForRodriguezCarballoEtAl2020 ). The track profiles were obtained using pygenometracks ( 52 ). The replicates and viewpoints used for each set of 4Cin are listed in SI Appendix , Table S4 .…”
Section: Methodsmentioning
confidence: 99%
“…We retained only results for which the gene closest to the disruption/creation of a TF is a CH driver. Visualization of the genomic context of the mutations represented in Figure S6 was performed using pyGenomeTracks 79 .…”
Section: Methodsmentioning
confidence: 99%
“…The TAD-separation score and the domains were obtained using hicFindTADs version 3.5.2 [78][79][80] with --minBoundaryDistance 100000 and either default parameters for the choice of window size or a fixed window size of 120Kb. Plots were obtained using pyGenomeTracks version 3.6 78,81 .…”
Section: Hi-c/ Chip Seq/ Scrna-seq Data Analysis 4c-seq Interaction Pmentioning
confidence: 99%
“…The coverage was then normalized by the number of million tags used in macs2 coverage. Plots were obtained using pyGenomeTracks version 3.6 78,81 . For DFL_E12_H3K27ac, the two replicates were averaged.…”
Section: Gatcggaagagcacacgtctgaactccagtcac -Amentioning
confidence: 99%