Tsbrowse: an interactive browser for Ancestral Recombination Graphs DOI Creative Commons
Savita Karthikeyan, Ben Jeffery, Duncan Mbuli-Robertson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract Ancestral Recombination Graphs (ARGs) represent the interwoven paths of genetic ancestry for a set recombining sequences. The ability to capture evolutionary history samples makes ARGs valuable in wide range applications population and statistical genetics. ARG-based approaches are increasingly becoming part data analysis pipelines due breakthroughs enabling ARG inference at biobank-scale. However, there is lack visualisation tools, which crucial validating inferences generating hypotheses. We present tsbrowse , an open-source Python web-app interactive fundamental building-blocks ARGs, i.e., nodes, edges mutations. demonstrate application various sources scenarios, highlight its key features browsability along genome, user interactivity, scalability very large sample sizes. Availability package: https://pypi.org/project/tsbrowse/ Development version: https://github.com/tskit.dev/tsbrowse Documentation: https://tskit.dev/tsbrowse/docs/

Language: Английский

Tsbrowse: an interactive browser for Ancestral Recombination Graphs DOI Creative Commons
Savita Karthikeyan, Ben Jeffery, Duncan Mbuli-Robertson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract Ancestral Recombination Graphs (ARGs) represent the interwoven paths of genetic ancestry for a set recombining sequences. The ability to capture evolutionary history samples makes ARGs valuable in wide range applications population and statistical genetics. ARG-based approaches are increasingly becoming part data analysis pipelines due breakthroughs enabling ARG inference at biobank-scale. However, there is lack visualisation tools, which crucial validating inferences generating hypotheses. We present tsbrowse , an open-source Python web-app interactive fundamental building-blocks ARGs, i.e., nodes, edges mutations. demonstrate application various sources scenarios, highlight its key features browsability along genome, user interactivity, scalability very large sample sizes. Availability package: https://pypi.org/project/tsbrowse/ Development version: https://github.com/tskit.dev/tsbrowse Documentation: https://tskit.dev/tsbrowse/docs/

Language: Английский

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