{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:58:12Z","timestamp":1762642692369,"version":"3.37.3"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T00:00:00Z","timestamp":1656547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"National Research Foundation of Korea (NRF) grant funded by the Korean government [Ministry of Science and ICT (MSIT)]","award":["2020R1A2C2005612"],"award-info":[{"award-number":["2020R1A2C2005612"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>DNA N6-methyladenine (6mA) has been demonstrated to have an essential function in epigenetic modification in eukaryotic species in recent research. 6mA has been linked to various biological processes. It\u2019s critical to create a new algorithm that can rapidly and reliably detect 6mA sites in genomes to investigate their biological roles. The identification of 6mA marks in the genome is the first and most important step in understanding the underlying molecular processes, as well as their regulatory functions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this article, we proposed a novel computational tool called i6mA-Caps which CapsuleNet based a framework for identifying the DNA N6-methyladenine sites. The proposed framework uses a single encoding scheme for numerical representation of the DNA sequence. The numerical data is then used by the set of convolution layers to extract low-level features. These features are then used by the capsule network to extract intermediate-level and later high-level features to classify the 6mA sites. The proposed network is evaluated on three datasets belonging to three genomes which are Rosaceae, Rice and Arabidopsis thaliana. Proposed method has attained an accuracy of 96.71%, 94% and 86.83% for independent Rosaceae dataset, Rice dataset and A.thaliana dataset respectively. The proposed framework has exhibited improved results when compared with the existing top-of-the-line methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>A user-friendly web-server is made available for the biological experts which can be accessed at: http:\/\/nsclbio.jbnu.ac.kr\/tools\/i6mA-Caps\/.<\/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\/btac434","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:53:01Z","timestamp":1656604381000},"page":"3885-3891","source":"Crossref","is-referenced-by-count":37,"title":["i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0914-7132","authenticated-orcid":false,"given":"Mobeen Ur","family":"Rehman","sequence":"first","affiliation":[{"name":"Department of Electronics and Information Engineering, Jeonbuk National University , Jeonju 54896, South Korea"}]},{"given":"Hilal","family":"Tayara","sequence":"additional","affiliation":[{"name":"School of International Engineering and Science, Jeonbuk National University , Jeonju 54896, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-1142","authenticated-orcid":false,"given":"Quan","family":"Zou","sequence":"additional","affiliation":[{"name":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China , Chengdu 610054, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1952-0001","authenticated-orcid":false,"given":"Kil To","family":"Chong","sequence":"additional","affiliation":[{"name":"Department of Electronics and Information Engineering, Jeonbuk National University , Jeonju 54896, South Korea"},{"name":"Advances Electronics and Information Research Center, Jeonbuk National University , Jeonju 54896, South Korea"}]}],"member":"286","published-online":{"date-parts":[[2022,6,30]]},"reference":[{"key":"2023041408482459200_","doi-asserted-by":"crossref","first-page":"4619","DOI":"10.1016\/j.csbj.2021.08.014","article-title":"TS-m6A-DL: tissue-specific identification of N6-methyladenosine sites using a universal deep learning model","volume":"19","author":"Abbas","year":"2021","journal-title":"Comput. 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