{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T05:28:25Z","timestamp":1777786105227,"version":"3.51.4"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T00:00:00Z","timestamp":1563148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"US NSF ABI","award":["1458556"],"award-info":[{"award-number":["1458556"]}]},{"name":"US NSF ABI","award":["1716340"],"award-info":[{"award-number":["1716340"]}]},{"name":"US DOE BES","award":["DEFG0291ER20021"],"award-info":[{"award-number":["DEFG0291ER20021"]}]},{"name":"US DOE BES","award":["NSFC"],"award-info":[{"award-number":["NSFC"]}]},{"name":"US DOE BES","award":["61702421"],"award-info":[{"award-number":["61702421"]}]},{"name":"US DOE BES","award":["U1811262"],"award-info":[{"award-number":["U1811262"]}]},{"name":"US DOE BES","award":["61772426"],"award-info":[{"award-number":["61772426"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M610651"],"award-info":[{"award-number":["2017M610651"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["3102018zy033"],"award-info":[{"award-number":["3102018zy033"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>The rapid improvement of phenotyping capability, accuracy and throughput have greatly increased the volume and diversity of phenomics data. A remaining challenge is an efficient way to identify phenotypic patterns to improve our understanding of the quantitative variation of complex phenotypes, and to attribute gene functions. To address this challenge, we developed a new algorithm to identify emerging phenomena from large-scale temporal plant phenotyping experiments. An emerging phenomenon is defined as a group of genotypes who exhibit a coherent phenotype pattern during a relatively short time. Emerging phenomena are highly transient and diverse, and are dependent in complex ways on both environmental conditions and development. Identifying emerging phenomena may help biologists to examine potential relationships among phenotypes and genotypes in a genetically diverse population and to associate such relationships with the change of environments or development.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We present an emerging phenomenon identification tool called Temporal Emerging Phenomenon Finder (TEP-Finder). Using large-scale longitudinal phenomics data as input, TEP-Finder first encodes the complicated phenotypic patterns into a dynamic phenotype network. Then, emerging phenomena in different temporal scales are identified from dynamic phenotype network using a maximal clique based approach. Meanwhile, a directed acyclic network of emerging phenomena is composed to model the relationships among the emerging phenomena. The experiment that compares TEP-Finder with two state-of-art algorithms shows that the emerging phenomena identified by TEP-Finder are more functionally specific, robust and biologically significant.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The source code, manual and sample data of TEP-Finder are all available at: http:\/\/phenomics.uky.edu\/TEP-Finder\/.<\/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\/btz559","type":"journal-article","created":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T23:10:46Z","timestamp":1562973046000},"page":"568-577","source":"Crossref","is-referenced-by-count":6,"title":["Identifying emerging phenomenon in long temporal phenotyping experiments"],"prefix":"10.1093","volume":"36","author":[{"given":"Jiajie","family":"Peng","sequence":"first","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University , Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junya","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University , Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghee","family":"Hoh","sequence":"additional","affiliation":[{"name":"Department of Energy Plant Research Lab"},{"name":"Cell and Molecular Biology Program, Michigan State University , East Lansing, MI, 48824, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayesha S","family":"Dina","sequence":"additional","affiliation":[{"name":"Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuequn","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University , Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David M","family":"Kramer","sequence":"additional","affiliation":[{"name":"Department of Energy Plant Research Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute for Biomedical Informatics, University of Kentucky , Lexington, KY 40536, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,7,15]]},"reference":[{"key":"2023013112074614800_btz559-B1","doi-asserted-by":"crossref","DOI":"10.1145\/276304.276314","volume-title":"Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications","author":"Agrawal","year":"1998"},{"key":"2023013112074614800_btz559-B2","doi-asserted-by":"crossref","first-page":"108.","DOI":"10.1038\/nature25969","article-title":"Whole-organism clone tracing using single-cell sequencing","volume":"556","author":"Alemany","year":"2018","journal-title":"Nature"},{"key":"2023013112074614800_btz559-B3","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/S0014-5793(02)03723-7","article-title":"Identification and characterization of single-domain thiosulfate sulfurtransferases from Arabidopsis thaliana","volume":"532","author":"Bauer","year":"2002","journal-title":"FEBS Lett"},{"key":"2023013112074614800_btz559-B4","volume-title":"Finding Cliques in an Undirected Graph","author":"Bron","year":"1972"},{"key":"2023013112074614800_btz559-B5","first-page":"107","volume-title":"Sixth International Conference on Data Mining, 2006 (ICDM\u201906)","author":"Caruana","year":"2006"},{"key":"2023013112074614800_btz559-B6","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1016\/j.tcs.2008.05.010","article-title":"A note on the problem of reporting maximal cliques","volume":"407","author":"Cazals","year":"2008","journal-title":"Theor. 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