RASCL: Rapid Assessment Of SARS-CoV-2 Clades Through Molecular Sequence Analysis
Martin, Darren P.
GroupInstitute for Genomics and Evolutionary Medicine
Permanent link to this recordhttp://hdl.handle.net/20.500.12613/7570
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AbstractAn important component of efforts to manage the ongoing COVID19 pandemic is the Rapid Assessment of how natural selection contributes to the emergence and proliferation of potentially dangerous SARS-CoV-2 lineages and CLades (RASCL). The RASCL pipeline enables continuous comparative phylogenetics-based selection analyses of rapidly growing clade-focused genome surveillance datasets, such as those produced following the initial detection of potentially dangerous variants. From such datasets RASCL automatically generates down-sampled codon alignments of individual genes/ORFs containing contextualizing background reference sequences, analyzes these with a battery of selection tests, and outputs results as both machine readable JSON files, and interactive notebook-based visualizations.
Citation to related workbioRxiv
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