News

skater: An R package for SNP-based Kinship Analysis, Testing, and Evaluation

Published August 30th, 2021 by Lauren Bejzak

Authors: Stephen D. Turner , V.P. Nagraj1, Matthew Scholz1, Shakeel Jessa1, Carlos Acevedo1, Jianye Ge , August E. Woerner2,3, Bruce Budowle2,3

Signature Science, LLC, Austin, TX 78759, USA
Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX 76107, USA
Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX 76107, USA

Abstract:

Motivation: SNP-based kinship analysis with genome-wide relationship estimation and IBD segment analysis methods produces results that often require further downstream processing and manipulation. A dedicated software package that consistently and intuitively implements 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.

 

View full preprint here.


‹ Back