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The initiation site of DNA replication, also called origin of replication (ORI), plays an extremely important role in the basic biochemical process. Thus, rapidly and effectively identifying the location of ORI in genome will provide key clues for genome analysis. Although biochemical experiments could provide detailed information for ORI, it requires high experimental cost and long experimental period. As good complements to experimental techniques, computational methods could overcome these disadvantages.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Thus, in this study, we developed a predictor called iORI-PseKNC2.0 to identify ORIs in the Saccharomyces cerevisiae genome based on sequence information. The PseKNC including 90 physicochemical properties was proposed to formulate ORI and non-ORI samples. In order to improve the accuracy, a two-step feature selection was proposed to exclude redundant and noise information. As a result, the overall success rate of 88.53% was achieved in the 5-fold cross-validation test by using support vector machine.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>Based on the proposed model, a user-friendly webserver was established and can be freely accessed at http:\/\/lin-group.cn\/server\/iORI-PseKNC2.0. The webserver will provide more convenience to most of wet-experimental scholars.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty943","type":"journal-article","created":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T20:17:29Z","timestamp":1542140249000},"page":"2075-2083","source":"Crossref","is-referenced-by-count":172,"title":["Identify origin of replication in<i>Saccharomyces cerevisiae<\/i>using two-step feature selection technique"],"prefix":"10.1093","volume":"35","author":[{"given":"Fu-Ying","family":"Dao","sequence":"first","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Lv","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao-Qin","family":"Feng","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"},{"name":"Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Lin","sequence":"additional","affiliation":[{"name":"Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,11,14]]},"reference":[{"key":"2023012713210697200_bty943-B1","doi-asserted-by":"crossref","first-page":"E1732","DOI":"10.3390\/molecules22101732","article-title":"ProLanGO: protein function prediction using neural machine translation based on a recurrent neural network","volume":"22","author":"Cao","year":"2017","journal-title":"Molecules"},{"key":"2023012713210697200_bty943-B2","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1093\/bioinformatics\/btw694","article-title":"QAcon: single model quality assessment using protein structural and contact information with machine learning techniques","volume":"33","author":"Cao","year":"2017","journal-title":"Bioinformatics"},{"key":"2023012713210697200_bty943-B3","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1186\/s12859-016-1405-y","article-title":"DeepQA: improving the estimation of single protein model quality with deep belief networks","volume":"17","author":"Cao","year":"2016","journal-title":"BMC Bioinformatics"},{"key":"2023012713210697200_bty943-B4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Trans. 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