MAINT: update to F1000 citation (#34)

q2_boots/citations.bib

@@ -1,3 +1,47 @@
+@ARTICLE{Raspet2025,
+  title     = "{Facilitating bootstrapped and rarefaction-based microbiome
+               diversity analysis with q2-boots}",
+  author    = "Raspet, Isaiah and Gehret, Elizabeth and Herman, Chloe and
+               Meilander, Jeff and Manley, Andrew and Simard, Anthony and
+               Bolyen, Evan and Caporaso, J Gregory",
+  journal   = "F1000Res.",
+  publisher = "F1000 Research Ltd",
+  volume    =  14,
+  number    =  87,
+  pages     =  87,
+  abstract  = "Background: We present q2-boots, a QIIME 2 plugin that facilitates
+               bootstrapped and rarefaction-based microbiome diversity analysis.
+               This plugin provides eight new actions that allow users to apply
+               any of thirty different alpha diversity metrics and twenty-two
+               beta diversity metrics to bootstrapped or rarefied feature
+               tables, using a single QIIME 2 Pipeline command, or more granular
+               QIIME 2 Action commands. Results: Given a feature table, an even
+               sampling depth, and the number of iterations to perform (n), the
+               command qiime boots core-metrics will resample the feature table
+               n times and compute alpha and beta diversity metrics on each
+               resampled table. The results will be integrated in summary data
+               artifacts that are identical in structure and type to results
+               that would be generated by applying diversity metrics to a single
+               table. This enables all the same downstream analytic tools to be
+               applied to these tables and ensures that all collected data is
+               considered when computing microbiome diversity metrics.
+               Conclusions: A challenge of this work was deciding how to
+               integrate distance matrices that were computed on n resampled
+               feature tables, as a simple average of pairwise distances (median
+               or mean) does not account for the structure of distance matrices.
+               q2-boots provides three options, and we show here that the
+               results of these approaches are highly correlated. q2-boots is
+               free and open source. Source code can be found at
+               https://github.com/caporaso-lab/q2-boots; installation
+               instructions and a tutorial can be found in the project’s
+               documentation at https://q2-boots.readthedocs.io.",
+  month     =  jan,
+  year      =  2025,
+  keywords  = "microbiome, rarefaction, bootstrap, QIIME 2",
+  language  = "en",
+  doi       = "https://doi.org/10.12688/f1000research.156295.1"
+}
+
 @ARTICLE{Raspet2024,
   title         = "Facilitating bootstrapped and rarefaction-based microbiome
                    diversity analysis with {q2}-boots",
@@ -37,4 +81,4 @@ @ARTICLE{Raspet2024
   archivePrefix = "arXiv",
   primaryClass  = "q-bio.QM",
   doi           = "https://doi.org/10.48550/arXiv.2408.05420"
-}
+}

q2_boots/plugin_setup.py

@@ -43,7 +43,7 @@
     description=('A plugin providing bootstrapped and rarefaction-based '
                  '(i.e., resampled) diversity analyses, designed to mirror the '
                  'interface of q2-diversity.'),
-    citations=[citations['Raspet2024']]
+    citations=[citations['Raspet2025']]
 )