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Documentation for ReporTree plugin.
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kjolley committed Oct 17, 2023
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2 changes: 2 additions & 0 deletions data_analysis/grapetree.rst
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.. _grapetree:

.. index::
pair: GrapeTree; minimum-spanning trees

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88 changes: 88 additions & 0 deletions data_analysis/reportree.rst
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.. index::
pair: ReporTree; genetic cluster characterization

*********
ReporTree
*********
ReporTree is a pan-pathogen tool for automated and reproducible identification
and characterization of genetic clusters.

ReporTree can be accessed by selecting the 'Analysis' section on the main
contents page.

.. image:: /images/data_analysis/analysis.png

Jump to the 'Third party' category, follow the link to ReporTree, then click
'Launch ReporTree'.

ReporTree can be accessed from the contents page by clicking the 'ReporTree'
link.

.. image:: /images/data_analysis/reportree1.png

Alternatively, it can be accessed following a query by clicking the 'ReporTree'
button at the bottom of the results table. Isolates returned from the query
will be automatically selected within the GrapeTree interface.

.. image:: /images/data_analysis/reportree2.png

Select the isolates to include. Trees and clusters can be generated from
allelic profiles of any selection of loci, or more conveniently, you can
select a scheme in the scheme selector, or choose from recommended schemes if
these have been set, to include all loci belonging to that scheme.

Additional fields can be selected to be included as metadata for use in
colouring nodes - select any fields you wish to include.
Multiple selections can be made by holding down shift or ctrl while selecting.
Click 'Submit' to start the analysis.

Finally, you can choose to use GrapeTree and HC methods for clustering and a
comma-separated list of partitions defined by locus differences, e.g. '4,7,15'.
Alternatively, you can choose to calculate and display 'stability regions'
which will include the first partition of each stability region (threshold
ranges in which cluster composition is similar).

.. image:: /images/data_analysis/reportree3.png

The job will be sent to the job queue. When it has finished, you should see a
link to load the resultant tree in GrapeTree and a list of output files.

.. image:: /images/data_analysis/reportree4.png

* :ref:`See further information about using GrapeTree. <grapetree>`

.. note::
ReporTree has been described in the following publication:


V Mixão, M Pinto, D Sobral, A Di Pasquale, J Gomes, V Borges (2023)
ReporTree: a surveillance-oriented tool to strengthen the linkage between
pathogen genetic clusters and epidemiological data
`Genome Med 15:43 <https://www.ncbi.nlm.nih.gov/pubmed/37322495>`_.

It also makes use of the following tools which should also be cited:

* cgmlst-dists: https://github.com/tseemann/cgmlst-dists for original code
and https://github.com/genpat-it/cgmlst-dists for improvements regarding
memory efficiency.

* If you requested a GrapeTree analysis:

* Z Zhou, NF Alikhan, MJ Sergeant, N Luhmann, C Vaz, AP Francisco,
JA Carriço, M Achtman (2018) GrapeTree: Visualization of core genomic
relationships among 100,000 bacterial pathogens.
`Genome Res 28:1395-1404 <https://www.ncbi.nlm.nih.gov/pubmed/30049790>`_.

* If you requested 'stability regions':

* JA Carriço, C Silva-Costa, J Melo-Cristino, FR Pinto, H de Lencastre,
JS Almeida, M Ramirez (2006) Illustration of a common framework for
relating multiple typing methods by application to macrolide-resistant
*Streptococcus pyogenes*.
`J Clin Microbiol 44:2524-32 <https://www.ncbi.nlm.nih.gov/pubmed/16825375>`_.

* DOR Barker, JA Carriço, P Kruczkiewicz, F Palma, M Rossi, EN Taboada
(2018) Rapid identification of stable clusters in bacterial populations
using the Adjusted Wallace Coefficient. BioRxiv DOI:
https://doi.org/10.1101/299347.

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