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pangolin 3.0 comes with additional functionality and requires an environment update as extra dependencies now include UShER and scorpio.
Requires pangoLEARN data >= 2021-05-27
Lineage assignment updates
PANGO assignment uses a sequence hash from all currently designated sequences to assign lineages.
PLEARN (pangoLEARN) assignment using a machine-learning model to assign the most likely lineage. Current model is decision tree model.
PUSHER (pangolin-UShER, pangUSHlin, pangUShER) assignment uses fast parsimony placement of a query sequence into a protobuf file based on currently designated sequences and infers most pasimonious lineage based on this placement (thanks to @AngieHinrichs and the rest of the UShER team).
This replaces the post-hoc tests pangolin previously ran to curate the variant of concern calls. The output of scorpio, which is explict SNP-threshold based assignment, and pangolin, which can now use either the pangoLEARN or UShER infererence engines, are displayed side-by-side in the output report.
Input updates
Based on @ArtPoon's PR, pangolin is now gzip and lzma compatible.