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snpR: user friendly population genomics for SNP datasets with categorical metadata
  • William Hemstrom,
  • Melissa Jones
William Hemstrom
University of California Davis
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Melissa Jones
University of California Davis
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Abstract

The analysis of genomic data can be an intimidating process, particularly for researchers who are not experienced programmers. Commonly used analyses are spread out across programs, each of which require their own input formats, and data must often be wrangled and re-wrangled into new formats to split the data according to categorical metadata variables, such as population or family. Here, we introduce snpR, and R package that allows for user-friendly processing of SNP genomic data by automating data sub-setting and processing across categorical metadata, integrating approaches contained in many different packages under a single ecosystem, and allowing for iterative, efficient analysis focused on a single R object across an entire analysis pipeline.