Abstract
MOTIVATION: BigWig files serve as essential inputs in epigenomic data visualization. However, current R packages for visualizing these files are limited, slow, and burdened by numerous dependencies. RESULTS: We introduce trackplot, a minimal R script designed for the rapid generation of integrative genomics viewer (IGV) style track plots, profile plots, and heatmaps from bigWig files. This script offers speed, owing to its reliance on bwtool, resulting in performance gains of several magnitudes compared to equivalent packages. The script is lightweight, requiring only the data.table and bwtool packages as primary dependencies. Notably, the plots are generated in base R graphics, eliminating the need for additional packages. trackplot queries the University of California Santa Cruz (UCSC) genome browser for gene models thereby enhancing the reproducibility of analyses. The script extends its support to general transfer format (GTF) further enhancing its versatility. This tool addresses the gaps in existing bigWig visualization approaches by offering speed, simplicity, and minimal dependencies, thereby presenting a valuable asset to researchers in the fields of epigenomics. AVAILABILITY AND IMPLEMENTATION: trackplot is implemented in R is made available under MIT license at https://github.com/PoisonAlien/trackplot.