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# sc2ts
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Infer a succinct tree sequence from SARS-COV-2 variation data
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- ** This is an early version not intended for production use!!**
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+ ** This is an early alpha version not intended for production use!!**
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If you are interested in helping to develop sc2ts or would like to
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work with the inferred ARGS, please get in touch.
@@ -109,3 +109,14 @@ metadata=$datadir/metadata.filtered.db
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# options+=" -b $basets"
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python3 -m sc2ts daily-extend $alignments $metadata $results_prefix $options
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```
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+
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+ ## Licensing
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+
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+ The code is marked as licensed under the MIT license,
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+ but because the current implementation is used the matching
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+ engine from tsinfer (which is GPL licensed) this code is
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+ therefore also GPL.
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+
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+ However, we plan to switch out the matching engine for an
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+ implementation provided by tskit, which is MIT licensed.
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+ This will be done before the first official release.
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license = MIT
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description = Infer a succinct tree sequence from SARS-CoV-2 sequence alignments
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long_description = file: README.md
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- long_description_content_type = text/x- markdown
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+ long_description_content_type = text/markdown
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[options]
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packages = sc2ts, sc2ts.data
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zip_safe = False # https://mypy.readthedocs.io/en/latest/installed_packages.html
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