CsDMA: an improved bioinformatics tool for identifying DNA 6 mA modifications via Chou's 5-step rule.

ABSTRACT: DNA N⁶-methyldeoxyadenosine (6 mA) modifications were first found more than 60 years ago but were thought to be only widespread in prokaryotes and unicellular eukaryotes. With the development of high-throughput sequencing technology, 6 mA modifications were found in different multicellular eukaryotes by using experimental methods. However, the experimental methods were time-consuming and costly, which makes it is very necessary to develop computational methods instead. In this study, a machine learning-based prediction tool, named csDMA, was developed for predicting 6 mA modifications. Firstly, three feature encoding schemes, Motif, Kmer, and Binary, were used to generate the feature matrix. Secondly, different algorithms were selected into the prediction model and the ExtraTree

SUBMITTER: Liu Z 

PROVIDER: S-EPMC6739324 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature