<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Dirichlet‐multinomial modelling outperforms alternatives for analysis of microbiome and other ecological count data</dc:title><dc:creator>Harrison, Joshua G.; Calder, W. John; Shastry, Vivaswat; Buerkle, C. Alex</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2019-12-19</dc:date><dc:nsf_par_id>10148029</dc:nsf_par_id><dc:journal_name>Molecular Ecology Resources</dc:journal_name><dc:journal_volume>20</dc:journal_volume><dc:journal_issue>2</dc:journal_issue><dc:page_range_or_elocation>481 to 497</dc:page_range_or_elocation><dc:issn>1755-098X</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1111/1755-0998.13128</dc:doi><dcq:identifierAwardId>1655726</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>