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Valr: Reproducible genome interval analysis in R.

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.

SUBMITTER: Riemondy KA 

PROVIDER: S-EPMC5506536 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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valr: Reproducible genome interval analysis in R.

Riemondy Kent A KA   Sheridan Ryan M RM   Gillen Austin A   Yu Yinni Y   Bennett Christopher G CG   Hesselberth Jay R JR  

F1000Research 20170629

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. ...[more]

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