{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T07:22:03Z","timestamp":1775978523773,"version":"3.50.1"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T00:00:00Z","timestamp":1670371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007052","name":"University of Verona","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Recently, an increasing number of methodological approaches have been proposed to tackle the complexity of metagenomics and microbiome data. In this scenario, reproducibility and replicability have become two critical issues, and the development of computational frameworks for the comparative evaluations of such methods is of utmost importance. Here, we present benchdamic, a Bioconductor package to benchmark methods for the identification of differentially abundant taxa.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>benchdamic is available as an open-source R package through the Bioconductor project at https:\/\/bioconductor.org\/packages\/benchdamic\/.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac778","type":"journal-article","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T07:51:27Z","timestamp":1670399487000},"source":"Crossref","is-referenced-by-count":5,"title":["benchdamic: benchmarking of differential abundance methods for microbiome data"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3056-518X","authenticated-orcid":false,"given":"Matteo","family":"Calgaro","sequence":"first","affiliation":[{"name":"Department of Biotechnology, University of Verona , Verona 37134, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4792-9047","authenticated-orcid":false,"given":"Chiara","family":"Romualdi","sequence":"additional","affiliation":[{"name":"Department of Biology, University of Padova , Padova 35131, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8508-5012","authenticated-orcid":false,"given":"Davide","family":"Risso","sequence":"additional","affiliation":[{"name":"Department of Statistical Sciences, University of Padova , Padova 35121, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9571-0747","authenticated-orcid":false,"given":"Nicola","family":"Vitulo","sequence":"additional","affiliation":[{"name":"Department of Biotechnology, University of Verona , Verona 37134, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,12,7]]},"reference":[{"key":"2023010805371918100_btac778-B1","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1038\/nbt.4096","article-title":"Integrating single-cell transcriptomic data across different conditions, technologies, and species","volume":"36","author":"Butler","year":"2018","journal-title":"Nat. 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