IDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice.

ABSTRACT: DNA N6-methyladenine (6mA) is a dominant DNA modification form and involved in many biological functions. The accurate genome-wide identification of 6mA sites may increase understanding of its biological functions. Experimental methods for 6mA detection in eukaryotes genome are laborious and expensive. Therefore, it is necessary to develop computational methods to identify 6mA sites on a genomic scale, especially for plant genomes. Based on this consideration, the study aims to develop a machine learning-based method of predicting 6mA sites in the rice genome. We initially used mono-nucleotide binary encoding to formulate positive and negative samples. Subsequently, the machine learning algorithm named Random Forest was utilized to perform the classification for identifying 6mA sites. Our

SUBMITTER: Lv H 

PROVIDER: S-EPMC6746913 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature