{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:44:54Z","timestamp":1783737894588,"version":"3.55.0"},"reference-count":68,"publisher":"Oxford University Press (OUP)","issue":"12","license":[{"start":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T00:00:00Z","timestamp":1541635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100004052","name":"King Abdullah University of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004052","name":"KAUST","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004052","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Office of Sponsored Research"},{"name":"OSR","award":["FCC\/1\/1976-04"],"award-info":[{"award-number":["FCC\/1\/1976-04"]}]},{"name":"OSR","award":["FCC\/1\/1976-06"],"award-info":[{"award-number":["FCC\/1\/1976-06"]}]},{"name":"OSR","award":["URF\/1\/2602-01"],"award-info":[{"award-number":["URF\/1\/2602-01"]}]},{"name":"OSR","award":["URF\/1\/3007-01"],"award-info":[{"award-number":["URF\/1\/3007-01"]}]},{"name":"OSR","award":["URF\/1\/3412-01"],"award-info":[{"award-number":["URF\/1\/3412-01"]}]},{"name":"OSR","award":["URF\/1\/3450-01"],"award-info":[{"award-number":["URF\/1\/3450-01"]}]},{"name":"OSR","award":["URF\/1\/3454-01"],"award-info":[{"award-number":["URF\/1\/3454-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Ontologies are widely used in biology for data annotation, integration and analysis. In addition to formally structured axioms, ontologies contain meta-data in the form of annotation axioms which provide valuable pieces of information that characterize ontology classes. Annotation axioms commonly used in ontologies include class labels, descriptions or synonyms. Despite being a rich source of semantic information, the ontology meta-data are generally unexploited by ontology-based analysis methods such as semantic similarity measures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We propose a novel method, OPA2Vec, to generate vector representations of biological entities in ontologies by combining formal ontology axioms and annotation axioms from the ontology meta-data. We apply a Word2Vec model that has been pre-trained on either a corpus or abstracts or full-text articles to produce feature vectors from our collected data. We validate our method in two different ways: first, we use the obtained vector representations of proteins in a similarity measure to predict protein\u2013protein interaction on two different datasets. Second, we evaluate our method on predicting gene\u2013disease associations based on phenotype similarity by generating vector representations of genes and diseases using a phenotype ontology, and applying the obtained vectors to predict gene\u2013disease associations using mouse model phenotypes. We demonstrate that OPA2Vec significantly outperforms existing methods for predicting gene\u2013disease associations. Using evidence from mouse models, we apply OPA2Vec to identify candidate genes for several thousand rare and orphan diseases. OPA2Vec can be used to produce vector representations of any biomedical entity given any type of biomedical ontology.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>https:\/\/github.com\/bio-ontology-research-group\/opa2vec<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty933","type":"journal-article","created":{"date-parts":[[2018,11,7]],"date-time":"2018-11-07T20:11:04Z","timestamp":1541621464000},"page":"2133-2140","source":"Crossref","is-referenced-by-count":138,"title":["OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction"],"prefix":"10.1093","volume":"35","author":[{"given":"Fatima Zohra","family":"Smaili","sequence":"first","affiliation":[{"name":"Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Gao","sequence":"additional","affiliation":[{"name":"Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8149-5890","authenticated-orcid":false,"given":"Robert","family":"Hoehndorf","sequence":"additional","affiliation":[{"name":"Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,11,8]]},"reference":[{"key":"2023012713231223800_bty933-B1","first-page":"2713","author":"Al-Mubaid","year":"2006"},{"key":"2023012713231223800_bty933-B2","doi-asserted-by":"crossref","first-page":"i901","DOI":"10.1093\/bioinformatics\/bty559","article-title":"Semantic disease gene embeddings (smudge): phenotype-based disease gene prioritization without phenotypes","volume":"34","author":"Alshahrani","year":"2018","journal-title":"Bioinformatics"},{"key":"2023012713231223800_bty933-B3","doi-asserted-by":"crossref","first-page":"2723","DOI":"10.1093\/bioinformatics\/btx275","article-title":"Neuro-symbolic representation learning on biological knowledge graphs","volume":"33","author":"Alshahrani","year":"2017","journal-title":"Bioinformatics"},{"key":"2023012713231223800_bty933-B4","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1002\/humu.21466","article-title":"A new face and new challenges for Online Mendelian Inheritance in Man (OMIM)","volume":"32","author":"Amberger","year":"2011","journal-title":"Hum Mutat"},{"key":"2023012713231223800_bty933-B5","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene ontology: tool for the unification of biology","volume":"25","author":"Ashburner","year":"2000","journal-title":"Nat. Genet"},{"key":"2023012713231223800_bty933-B7","volume-title":"The Description Logic Handbook: Theory, Implementation and Applications","author":"Baader","year":"2003"},{"key":"2023012713231223800_bty933-B8","author":"Beam","year":"2018"},{"key":"2023012713231223800_bty933-B9","doi-asserted-by":"crossref","first-page":"D723","DOI":"10.1093\/nar\/gkw1040","article-title":"Mouse genome database (mgd)-2017: community knowledge resource for the laboratory mouse","volume":"45","author":"Blake","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B10","first-page":"67.","article-title":"Biomedical ontologies in action: role in knowledge management, data integration and decision support","volume":"2008","author":"Bodenreider","year":"2008","journal-title":"Yearb. Med. Inf"},{"key":"2023012713231223800_bty933-B11","first-page":"2787","volume-title":"Advances in Neural Information Processing Systems","author":"Bordes","year":"2013"},{"key":"2023012713231223800_bty933-B12","doi-asserted-by":"crossref","first-page":"1.","DOI":"10.1155\/2014\/253128","article-title":"A knowledge-driven approach to extract disease-related biomarkers from the literature","volume":"2014","author":"Bravo","year":"2014","journal-title":"BioMed Res. Int"},{"key":"2023012713231223800_bty933-B13","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s12859-015-0472-9","article-title":"Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research","volume":"16","author":"Bravo","year":"2015","journal-title":"BMC Bioinformatics"},{"key":"2023012713231223800_bty933-B14","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1136\/adc.44.233.69","article-title":"Cardiofacial syndrome. congenital heart disease and facial weakness, a hitherto unrecognized association","volume":"44","author":"Cayler","year":"1969","journal-title":"Arch. Dis. Child"},{"key":"2023012713231223800_bty933-B15","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1080\/15384101.2015.1121350","article-title":"E2f4 and e2f5 are essential for the development of the male reproductive system","volume":"15","author":"Danielian","year":"2016","journal-title":"Cell Cycle"},{"key":"2023012713231223800_bty933-B16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0104463","article-title":"Evaluating the good ontology design guideline (goodod) with the ontology quality requirements and evaluation method and metrics (oquare)","volume":"9","author":"Duque-Ramos","year":"2014","journal-title":"PLoS One"},{"key":"2023012713231223800_bty933-B17","doi-asserted-by":"crossref","first-page":"R5.","DOI":"10.1186\/gb-2005-6-4-p5","article-title":"Using ontologies to describe mouse phenotypes","volume":"6","author":"Gkoutos","year":"2005","journal-title":"Genome Biol"},{"key":"2023012713231223800_bty933-B18","doi-asserted-by":"crossref","first-page":"1008","DOI":"10.1093\/bib\/bbx035","article-title":"The anatomy of phenotype ontologies: principles, properties and applications","volume":"19","author":"Gkoutos","year":"2017","journal-title":"Briefings in Bioinf"},{"key":"2023012713231223800_bty933-B19","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.websem.2008.05.001","article-title":"Owl 2: the next step for owl","volume":"6","author":"Grau","year":"2008","journal-title":"Web Semant. Sci. Serv. Agents World Wide Web"},{"key":"2023012713231223800_bty933-B20","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1006\/ijhc.1995.1081","article-title":"Toward principles for the design of ontologies used for knowledge sharing","volume":"43","author":"Gruber","year":"1995","journal-title":"Int. J. Hum. Comput. Stud"},{"key":"2023012713231223800_bty933-B21","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-02156-5","volume-title":"Semantic Similarity from Natural Language and Ontology Analysis","author":"Harispe","year":"2015"},{"key":"2023012713231223800_bty933-B22","doi-asserted-by":"crossref","first-page":"20120055.","DOI":"10.1098\/rsfs.2012.0055","article-title":"An integrative, translational approach to understanding rare and orphan genetically based diseases","volume":"3","author":"Hoehndorf","year":"2013","journal-title":"Interface Focus"},{"key":"2023012713231223800_bty933-B23","doi-asserted-by":"crossref","first-page":"e119.","DOI":"10.1093\/nar\/gkr538","article-title":"Phenomenet: a whole-phenome approach to disease gene discovery","volume":"39","author":"Hoehndorf","year":"2011","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B24","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1093\/bioinformatics\/btt613","article-title":"Mouse model phenotypes provide information about human drug targets","volume":"30","author":"Hoehndorf","year":"2014","journal-title":"Bioinformatics"},{"key":"2023012713231223800_bty933-B25","doi-asserted-by":"crossref","first-page":"26.","DOI":"10.1186\/s12859-015-0456-9","article-title":"Aber-owl: a framework for ontology-based data access in biology","volume":"16","author":"Hoehndorf","year":"2015","journal-title":"BMC Bioinformatics"},{"key":"2023012713231223800_bty933-B26","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1093\/bib\/bbv011","article-title":"The role of ontologies in biological and biomedical research: a functional perspective","volume":"16","author":"Hoehndorf","year":"2015","journal-title":"Brief. Bioinf"},{"key":"2023012713231223800_bty933-B27","first-page":"299","volume-title":"Formal Ontology in Information Systems, Volume 283 of Frontiers in Artificial Intelligence and Applications","author":"Hoehndorf","year":"2016"},{"key":"2023012713231223800_bty933-B28","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3233\/SW-2011-0025","article-title":"The owl api: a java api for owl ontologies","volume":"2","author":"Horridge","year":"2011","journal-title":"Semant. Web"},{"key":"2023012713231223800_bty933-B29","first-page":"57","volume-title":"KR","author":"Horrocks","year":"2006"},{"key":"2023012713231223800_bty933-B30","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TII.2012.2187914","article-title":"Selection of proper neural network sizes and architectures \u2013 a comparative study","volume":"8","author":"Hunter","year":"2012","journal-title":"IEEE Trans. Ind. Inf"},{"key":"2023012713231223800_bty933-B31","first-page":"19","volume-title":"Proceeding of the Int'l. Conference on Research in Computational Linguistics","author":"Jiang","year":"1997"},{"key":"2023012713231223800_bty933-B32","doi-asserted-by":"crossref","first-page":"259","DOI":"10.12688\/f1000research.6670.1","article-title":"Phenostruct: prediction of human phenotype ontology terms using heterogeneous data sources","volume":"4","author":"Kahanda","year":"2015","journal-title":"F1000Research"},{"key":"2023012713231223800_bty933-B33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10817-013-9296-3","article-title":"The incredible elk","volume":"53","author":"Kazakov","year":"2014","journal-title":"J. Autom. Reason"},{"key":"2023012713231223800_bty933-B34","doi-asserted-by":"crossref","first-page":"D1071","DOI":"10.1093\/nar\/gku1011","article-title":"Disease ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data","volume":"43","author":"Kibbe","year":"2015","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B35","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.ajhg.2009.09.003","article-title":"Clinical diagnostics in human genetics with semantic similarity searches in ontologies","volume":"85","author":"K\u00f6hler","year":"2009","journal-title":"Am. J. Hum. Genet"},{"key":"2023012713231223800_bty933-B36","doi-asserted-by":"crossref","first-page":"D865","DOI":"10.1093\/nar\/gkw1039","article-title":"The human phenotype ontology in 2017","volume":"45","author":"K\u00f6hler","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B37","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1093\/bioinformatics\/btx624","article-title":"Deepgo: predicting protein functions from sequence and interactions using a deep ontology-aware classifier","volume":"34","author":"Kulmanov","year":"2018","journal-title":"Bioinformatics"},{"key":"2023012713231223800_bty933-B38","doi-asserted-by":"crossref","first-page":"265","DOI":"10.7551\/mitpress\/7287.003.0018","article-title":"Combining local context and wordnet similarity for word sense identification","volume":"49","author":"Leacock","year":"1998","journal-title":"WordNet Electron. Lexical Datab"},{"key":"2023012713231223800_bty933-B39","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1109\/TKDE.2003.1209005","article-title":"An approach for measuring semantic similarity between words using multiple information sources","volume":"15","author":"Li","year":"2003","journal-title":"IEEE Trans. Knowl. Data Eng"},{"key":"2023012713231223800_bty933-B40","first-page":"296","volume-title":"ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning","author":"Lin","year":"1998"},{"key":"2023012713231223800_bty933-B41","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1101\/gad.12.8.1092","article-title":"A specific, nonproliferative role for E2F-5 in choroid plexus function revealed by gene targeting","volume":"12","author":"Lindeman","year":"1998","journal-title":"Genes Dev"},{"key":"2023012713231223800_bty933-B42","doi-asserted-by":"crossref","first-page":"6.","DOI":"10.1186\/s13326-017-0172-7","article-title":"Miro: guidelines for minimum information for the reporting of an ontology","volume":"9","author":"Matentzoglu","year":"2018","journal-title":"J. Biomed. Semant"},{"key":"2023012713231223800_bty933-B43","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1038\/ng.3901","article-title":"Disease model discovery from 3, 328 gene knockouts by the international mouse phenotyping consortium","volume":"49","author":"Meehan","year":"2017","journal-title":"Nat. Genet"},{"key":"2023012713231223800_bty933-B44","author":"Mikolov","year":"2013"},{"key":"2023012713231223800_bty933-B45","author":"Mikolov","year":"2013"},{"key":"2023012713231223800_bty933-B46","author":"Newman-Griffis","year":"2018"},{"key":"2023012713231223800_bty933-B47","first-page":"1955","volume-title":"Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI\u201916","author":"Nickel","year":"2016"},{"key":"2023012713231223800_bty933-B48","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/JPROC.2015.2483592","article-title":"A review of relational machine learning for knowledge graphs","volume":"104","author":"Nickel","year":"2016","journal-title":"Proc. IEEE"},{"key":"2023012713231223800_bty933-B49","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1177\/0009922813506606","article-title":"Asymmetric crying facies in the 22q11.2 deletion syndrome: implications for future screening","volume":"52","author":"Pasick","year":"2013","journal-title":"Clin. Pediatr"},{"key":"2023012713231223800_bty933-B50","doi-asserted-by":"crossref","first-page":"e1000443.","DOI":"10.1371\/journal.pcbi.1000443","article-title":"Semantic similarity in biomedical ontologies","volume":"5","author":"Pesquita","year":"2009","journal-title":"PLoS Comput. Biol"},{"key":"2023012713231223800_bty933-B51","doi-asserted-by":"crossref","first-page":"D833","DOI":"10.1093\/database\/bav028","article-title":"Disgenet: a discovery platform for the dynamical exploration of human diseases and their genes","volume":"2015","author":"Pi\u00f1ero","year":"2015","journal-title":"Database"},{"key":"2023012713231223800_bty933-B52","first-page":"D833","author":"Pi\u00f1ero","year":"2016"},{"key":"2023012713231223800_bty933-B53","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1161\/CIRCRESAHA.109.200451","article-title":"Loss of cardiac microrna-mediated regulation leads to dilated cardiomyopathy and heart failure","volume":"105","author":"Rao","year":"2009","journal-title":"Circulation Res"},{"key":"2023012713231223800_bty933-B54","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1613\/jair.514","article-title":"Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language","volume":"11","author":"Resnik","year":"1999","journal-title":"J. Artif. Intell. Res. (JAIR)"},{"key":"2023012713231223800_bty933-B55","first-page":"498","volume-title":"International Semantic Web Conference","author":"Ristoski","year":"2016"},{"key":"2023012713231223800_bty933-B56","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1016\/j.ajhg.2008.09.017","article-title":"The human phenotype ontology: a tool for annotating and analyzing human hereditary disease","volume":"83","author":"Robinson","year":"2008","journal-title":"Am. J. Hum. Genet"},{"key":"2023012713231223800_bty933-B57","doi-asserted-by":"crossref","first-page":"7.","DOI":"10.1186\/s12859-017-1999-8","article-title":"Inferring ontology graph structures using owl reasoning","volume":"19","author":"Rodr\u00edguez-Garc\u00eda","year":"2018","journal-title":"BMC Bioinformatics"},{"key":"2023012713231223800_bty933-B58","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1186\/s13326-017-0167-4","article-title":"Integrating phenotype ontologies with phenomenet","volume":"8","author":"Rodr\u00edguez-Garc\u00eda","year":"2017","journal-title":"J. Biomed. Semant"},{"key":"2023012713231223800_bty933-B59","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s13326-017-0127-z","article-title":"Ontological interpretation of biomedical database content","volume":"8","author":"Santana da Silva","year":"2017","journal-title":"J. Biomed. Semant"},{"key":"2023012713231223800_bty933-B60","doi-asserted-by":"crossref","first-page":"D940","DOI":"10.1093\/nar\/gkr972","article-title":"Disease ontology: a backbone for disease semantic integration","volume":"40","author":"Schriml","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B61","first-page":"91","volume-title":"Proceedings of the Fifth OWLED Workshop on OWL: Experiences and Directions","author":"Shearer","year":"2008"},{"key":"2023012713231223800_bty933-B62","first-page":"i52","author":"Smaili","year":"2018"},{"key":"2023012713231223800_bty933-B63","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1038\/nbt1346","article-title":"The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration","volume":"25","author":"Smith","year":"2007","journal-title":"Nat. Biotechnol"},{"key":"2023012713231223800_bty933-B64","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s13326-015-0009-1","article-title":"Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens","volume":"6","author":"Smith","year":"2015","journal-title":"J. Biomed. Semant"},{"key":"2023012713231223800_bty933-B65","doi-asserted-by":"crossref","first-page":"D362","DOI":"10.1093\/nar\/gkw937","article-title":"The string database in 2017: quality-controlled protein\u2013protein association networks, made broadly accessible","volume":"45","author":"Szklarczyk","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2023012713231223800_bty933-B66","doi-asserted-by":"crossref","first-page":"1859","DOI":"10.1093\/hmg\/3.10.1859","article-title":"A proposed new contiguous gene syndrome on 8q consists of branchio-oto-renal (bor) syndrome, duane syndrome, a dominant form of hydrocephalus and trapeze aplasia; implications for the mapping of the bor gene","volume":"3","author":"Vincent","year":"1994","journal-title":"Hum. Mol. Genet"},{"key":"2023012713231223800_bty933-B67","year":"2009"},{"key":"2023012713231223800_bty933-B68","first-page":"133","author":"Wu","year":"1994"},{"key":"2023012713231223800_bty933-B69","first-page":"1","article-title":"Using the roc curve to measure association and evaluate prediction accuracy for a binary outcome","volume":"5","author":"Yin","year":"2017","journal-title":"Biometr. Biostatist. Int. J"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/35\/12\/2133\/48935045\/bioinformatics_35_12_2133.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/35\/12\/2133\/48935045\/bioinformatics_35_12_2133.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T05:08:17Z","timestamp":1720760897000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/35\/12\/2133\/5165380"}},"subtitle":[],"editor":[{"given":"Jonathan","family":"Wren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2018,11,8]]},"references-count":68,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,6,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bty933","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2019,6]]},"published":{"date-parts":[[2018,11,8]]}}}