{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T11:37:46Z","timestamp":1788608266881,"version":"build-2803163510"},"reference-count":59,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T00:00:00Z","timestamp":1632700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"European Molecular Biology Organization [EMBO Installation","award":["4150"],"award-info":[{"award-number":["4150"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>With a large number of metagenomic datasets becoming available, eukaryotic metagenomics emerged as a new challenge. The proper classification of eukaryotic nuclear and organellar genomes is an essential step toward a better understanding of eukaryotic diversity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We developed Tiara, a deep-learning-based approach for the identification of eukaryotic sequences in the metagenomic datasets. Its two-step classification process enables the classification of nuclear and organellar eukaryotic fractions and subsequently divides organellar sequences into plastidial and mitochondrial. Using the test dataset, we have shown that Tiara performed similarly to EukRep for prokaryotes classification and outperformed it for eukaryotes classification with lower calculation time. In the tests on the real data, Tiara performed better than EukRep in analyzing the small dataset representing eukaryotic cell microbiome and large dataset from the pelagic zone of oceans. Tiara is also the only available tool correctly classifying organellar sequences, which was confirmed by the recovery of nearly complete plastid and mitochondrial genomes from the test data and real metagenomic data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Tiara is implemented in python 3.8, available at https:\/\/github.com\/ibe-uw\/tiara and tested on Unix-based systems. It is released under an open-source MIT license and documentation is available at https:\/\/ibe-uw.github.io\/tiara. Version 1.0.1 of Tiara has been used for all benchmarks.<\/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\/btab672","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T08:09:26Z","timestamp":1632211766000},"page":"344-350","source":"Crossref","is-referenced-by-count":151,"title":["Tiara: deep learning-based classification system for eukaryotic sequences"],"prefix":"10.1093","volume":"38","author":[{"given":"Micha\u0142","family":"Karlicki","sequence":"first","affiliation":[{"name":"Institute of Evolutionary Biology, Faculty of Biology & Biological and Chemical Research Centre, University of Warsaw, Warszawa 02-089, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stanis\u0142aw","family":"Antonowicz","sequence":"additional","affiliation":[{"name":"Institute of Evolutionary Biology, Faculty of Biology & Biological and Chemical Research Centre, University of Warsaw, Warszawa 02-089, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3709-7873","authenticated-orcid":false,"given":"Anna","family":"Karnkowska","sequence":"additional","affiliation":[{"name":"Institute of Evolutionary Biology, Faculty of Biology & Biological and Chemical Research Centre, University of Warsaw, Warszawa 02-089, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,9,27]]},"reference":[{"key":"2023020108462677200_btab672-B1","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1038\/s41586-019-0965-1","article-title":"A new genomic blueprint of the human gut microbiota","volume":"568","author":"Almeida","year":"2019","journal-title":"Nature"},{"key":"2023020108462677200_btab672-B2","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/S0022-2836(05)80360-2","article-title":"Basic local alignment search tool","volume":"215","author":"Altschul","year":"1990","journal-title":"J. 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