MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model
Publication in refereed journal

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其它資訊
摘要Motivation: Recent studies have shown that DNA N6-methyladenine (6mA) plays an important role in epigenetic modification of eukaryotic organisms. It has been found that 6mA is closely related to embryonic development, stress response and so on. Developing a new algorithm to quickly and accurately identify 6mA sites in genomes is important for explore their biological functions.
Results: In this paper, we proposed a new classification method called MM-6mAPred based on a Markov model which makes use of the transition probability between adjacent nucleotides to identify 6mA site. The sensitivity and specificity of our method are 89.32% and 90.11%, respectively. The overall accuracy of our method is 89.72%, which is 6.59% higher than that of the previous method i6mA-Pred. It indicated that, compared with the 41 nucleotide chemical properties used by i6mA-Pred, the transition probability between adjacent nucleotides can capture more discriminant sequence information.
出版社接受日期09.07.2019
著者Pian C, Zhang GL, Li F, Fan XD
期刊名稱Bioinformatics
出版年份2020
月份1
卷號36
期次2
出版社OXFORD UNIV PRESS
頁次388 - 392
國際標準期刊號1367-4803
電子國際標準期刊號1460-2059
語言英式英語
Web of Science 學科類別Biochemical Research Methods;Biotechnology & Applied Microbiology;Computer Science, Interdisciplinary Applications;Mathematical & Computational Biology;Statistics & Probability;Biochemistry & Molecular Biology;Biotechnology & Applied Microbiology;Computer Science;Mathematical & Computational Biology;Mathematics

上次更新時間 2020-22-11 於 00:08