期刊
MOLECULAR ECOLOGY RESOURCES
卷 23, 期 4, 页码 962-973出版社
WILEY
DOI: 10.1111/1755-0998.13721
关键词
bioinformatics; population genetics; population genomics; R packages
Genomic data analysis can be intimidating, especially for researchers without programming experience. snpR is a user-friendly R package that automates data subsetting and analysis based on categorical metadata, integrating methods from multiple packages to streamline repeated analyses.
The analysis of genomic data can be an intimidating process, particularly for researchers who are not experienced programmers. Commonly used analyses are spread across many programs, each requiring their own specific input formats, and so data must often be repeatedly reorganized and transformed into new formats. Analyses often require splitting data according to metadata variables such as population or family, which can be challenging to manage in large data sets. Here, we introduce snpR, a user-friendly data analysis package in R for processing SNP genomic data. snpR is designed to automate data subsetting and analyses across categorical metadata while also streamlining repeated analyses by integrating approaches contained in many different packages in a single ecosystem. snpR facilitates iterative and efficient analyses centred on a single R object for an entire analysis pipeline.
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