skater: An R package for SNP-based kinship analysis, testing, and evaluation

Stephen D. Turner, V. P. Nagraj, Matthew Scholz, Shakeel Jessa, Carlos Acevedo, Jianye Ge, August E. Woerner, Bruce Budowle

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Motivation: 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.

Original languageEnglish
Article number18
JournalF1000Research
Volume11
DOIs
StatePublished - 2022

Keywords

  • Bioinformatics
  • Genealogy
  • Kinship
  • R
  • Relatedness
  • SNPs
  • Single nucleotide polymorphisms

Fingerprint

Dive into the research topics of 'skater: An R package for SNP-based kinship analysis, testing, and evaluation'. Together they form a unique fingerprint.

Cite this