Details

Autor(en) / Beteiligte

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

Titel

skater: an R package for SNP-based kinship analysis, testing, and evaluation [version 1; peer review: 2 approved, 1 approved with reservations]

Ist Teil von

• F1000 research, 2022, Vol.11, p.18-18

Ort / Verlag

England: Faculty of 1000 Ltd

Erscheinungsjahr

2022

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.