{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T03:46:18Z","timestamp":1775187978577,"version":"3.50.1"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T00:00:00Z","timestamp":1720224000000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-17-CE23-0016"],"award-info":[{"award-number":["ANR-17-CE23-0016"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data. We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the updated ground truth.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We reproduced results from an automatic tagger with high accuracy, and we demonstrated that pre-training on large databases accelerates the training of a new tagger, achieving similar prediction accuracy using less data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>All the code is free and open source. Docker images are also available. See gitlab.pasteur.fr\/nyx\/LarvaTagger.jl.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btae441","type":"journal-article","created":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T08:04:01Z","timestamp":1720253041000},"source":"Crossref","is-referenced-by-count":8,"title":["LarvaTagger: manual and automatic tagging of <i>Drosophila<\/i> larval behaviour"],"prefix":"10.1093","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1615-6400","authenticated-orcid":false,"given":"Fran\u00e7ois","family":"Laurent","sequence":"first","affiliation":[{"name":"Institut Pasteur, Universit\u00e9 Paris Cit\u00e9, CNRS UMR 3571, Decision and Bayesian Computation , 75015 Paris, France"},{"name":"\u00c9pim\u00e9th\u00e9e, INRIA , 75015 Paris, France"},{"name":"Institut Pasteur, Universit\u00e9 Paris Cit\u00e9, Bioinformatics and Biostatistics Hub , F-75015 Paris, 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Zoology, University of Cambridge , Cambridge CB2 3EJ, United Kingdom"},{"name":"Janelia Research Campus, Howard Hughes Medical Institute , Ashburn, VA 20147, United States"},{"name":"MRC Laboratory of Molecular Biology , Cambridge CB2 0QH, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4551-8984","authenticated-orcid":false,"given":"Chlo\u00e9","family":"Barr\u00e9","sequence":"additional","affiliation":[{"name":"Institut Pasteur, Universit\u00e9 Paris Cit\u00e9, CNRS UMR 3571, Decision and Bayesian Computation , 75015 Paris, France"},{"name":"\u00c9pim\u00e9th\u00e9e, INRIA , 75015 Paris, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6485-3158","authenticated-orcid":false,"given":"Christian L","family":"Vestergaard","sequence":"additional","affiliation":[{"name":"Institut Pasteur, Universit\u00e9 Paris Cit\u00e9, CNRS UMR 3571, Decision and Bayesian Computation , 75015 Paris, France"},{"name":"\u00c9pim\u00e9th\u00e9e, INRIA , 75015 Paris, 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