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snpR: User friendly population genomics for SNP data sets with categorical metadata.
William Hemstrom1, Melissa Jones1
1Department of Animal Science, University of California, Davis, California, USA.
Molecular Ecology Resources
|October 14, 2022
Summary
This study introduces snpR, a user-friendly R package simplifying genomic data analysis for researchers. It automates complex tasks like data subsetting and repeated analyses, making SNP data processing more accessible and efficient.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Genomic data analysis is complex for non-programmers.
- Existing tools require extensive data reformatting and management.
- Handling large datasets and metadata subsetting poses challenges.
Purpose of the Study:
- Introduce snpR, an R package for user-friendly SNP genomic data analysis.
- Automate data subsetting and analyses across categorical metadata.
- Streamline repeated analyses within a unified R ecosystem.
Main Methods:
- Developed snpR, a novel R package.
- Integrated approaches from multiple analysis packages.
- Designed for automated data subsetting and analysis across metadata.
Main Results:
- snpr simplifies processing of SNP genomic data.
- Automates data subsetting and analyses across categorical metadata.
- Streamlines repeated analyses by consolidating multiple package functionalities.
Conclusions:
- snpr enhances the efficiency and accessibility of genomic data analysis.
- Provides a unified R object for entire analysis pipelines.
- Reduces the complexity of managing and analyzing large SNP datasets.
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