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Updated docs.
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rfm-targa committed Oct 27, 2023
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10 changes: 10 additions & 0 deletions CHEWBBACA/docs/user/help_support/faq.rst
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Expand Up @@ -52,6 +52,16 @@ You can also download schemas compatible with chewBBACA from `Chewie-NS <https:/
Chewie-NS allows chewBBACA users to download and update cg/wgMLST schemas, allowing the easy sharing of
results, while ensuring the reproducibility and consistency of these steps.

How can I identify genetic clusters based on the results generated by the AlleleCall module?
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We recommend that you use `ReporTree <https://github.com/insapathogenomics/ReporTree>`_ to identify genetic clusters
based on the allelic profiles (contained in the ``results_alleles.tsv`` output file) determined by chewBBACA. ReporTree
includes functionalities to identify genetic clusters at any distance threshold level(s), obtain summary reports with relevant
statistics computed based on sample metadata, identify regions of cluster stability, etc. Cluster nomenclature can be maintained
and updated in subsequent analyses, which is especially useful in surveillance-oriented workflows. Check the
`publication <https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-023-01196-1>`_ and the
`GitHub repository <https://github.com/insapathogenomics/ReporTree>`_ to know more about ReporTree.

Is it possible to perform allele calling without adding novel alleles to the schema?
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Yes, you can use the ``--no-inferred`` parameter to specify that you do not want to add novel alleles
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11 changes: 11 additions & 0 deletions CHEWBBACA/docs/user/modules/AlleleCall.rst
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Expand Up @@ -412,6 +412,17 @@ Example for the ``SAMD00008628`` genome:
algorithm to create a TSV file, ``results_alleles_hashed.tsv``, with hashed profiles (each allele identifier is substituted
by the hash of the DNA sequence).

Identify genetic clusters
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We recommend that you use `ReporTree <https://github.com/insapathogenomics/ReporTree>`_ to identify genetic clusters
based on the allelic profiles (contained in the ``results_alleles.tsv`` output file) determined by chewBBACA. ReporTree
includes functionalities to identify genetic clusters at any distance threshold level(s), obtain summary reports with relevant
statistics computed based on sample metadata, identify regions of cluster stability, etc. Cluster nomenclature can be maintained
and updated in subsequent analyses, which is especially useful in surveillance-oriented workflows. Check the
`publication <https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-023-01196-1>`_ and the
`GitHub repository <https://github.com/insapathogenomics/ReporTree>`_ to know more about ReporTree.

Concurrent allele calling
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