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Computing ChIP-seq coverage of replication timing quantiles - Bash and R scripts

Authors: Bellani, Marina A.;

Computing ChIP-seq coverage of replication timing quantiles - Bash and R scripts

Abstract

BASH scripts process.sh process2.sh Divide the genome into genomic windows of a specified size, calculate the mean replication timing (RT) score (or eigenvector score) for each window, compute the coverage of each ChIP-seq BAM file for each genomic window and generate a table [forR.BL.ok.tab] displaying CHIP-seq coverage per genomic window for the different samples (and removes blacklisted regions and "chrUn|chrEBV|chrY|random|\s.\s"). R scripts Functions TMP-per_RTquantile -Data import [ forR.BL.ok.tab ] -Data wrangling -Conversion of coverage data into Tags per million using toTMP function -Calculates for each sample ‘Coverage in TPM per RT (or eigenvector) quantile’ using convertToQuantiles function -Generates a box plot of TMP per RT quantile for all samples -Saves the sets of box plots as a png file

{"references": ["Zhang J. et al. DONSON and FANCM associate with different replisomes distinguished by replication timing and chromatin domain. 2020 Nature Communications, in press"]}

This research was supported, in part, by the Intramural Research Program of the NIH, National Institute on Aging, United States (Z01-AG000746-08).

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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