Attribution 4.0 International (CC BY 4.0)2022-09-162022-09-162022-01-07Turner, S. D., Nagraj, V. P., Scholz, M., Jessa, S., Acevedo, C., Ge, J., Woerner, A. E., & Budowle, B. (2022). skater: an R package for SNP-based kinship analysis, testing, and evaluation. F1000Research, 11, 18. https://doi.org/10.12688/f1000research.76004.12046-1402https://hdl.handle.net/20.500.12503/31761Motivation: SNP-based kinship analysis with genome-wide relationship estimation and IBD segment analysis methods produces results that often require further downstream process- ing and manipulation. A dedicated software package that consistently and intuitively imple- ments this analysis functionality is needed. Results: Here we present the skater R package for SNP-based kinship analysis, testing, and evaluation with R. The skater package contains a suite of well-documented tools for importing, parsing, and analyzing pedigree data, performing relationship degree inference, benchmarking relationship degree classification, and summarizing IBD segment data. Availability: The skater package is implemented as an R package and is released under the MIT license at https://github.com/signaturescience/skater. Documentation is available at https://signaturescience.github.io/skater.http://creativecommons.org/licenses/by/4.0/rSNPsbioinformaticsgenealogykinshiprelatednesssingle nucleotide polymorphismsComputational BiologyGenomeHumansPedigreePolymorphism, Single NucleotideSoftwareArticle© 2022 Turner SD et al.11