valr: Reproducible genome interval analysis in R
Kent Riemondy(University of Colorado Denver), Ryan M. Sheridan(University of Colorado Denver), Austin E. Gillen(University of Colorado Denver), Yinni Yu(University of Colorado Denver), Christopher Bennett(Engineering Data Management), Jay R. Hesselberth(University of Colorado Denver)
Cited by 93Open Access
Abstract
New tools for reproducible exploratory data analysis of large datasets are important to address the rising size and complexity of genomic data. We developed the valr R package to enable flexible and efficient genomic interval analysis. valr leverages new tools available in the "tidyverse", including dplyr. Benchmarks of valr show it performs similar to BEDtools and can be used for interactive analyses and incorporated into existing analysis pipelines.
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