Hasan, Mehedi Md et al. published their research in Briefings in Functional Genomics in 2021 |CAS: 443-72-1

The Article related to review dna methyladenine distant sequence, dna n6-methyladenine site, machine learning, prediction model, sequence analysis, web servers, Placeholder for records without volume info and other aspects.Recommanded Product: 443-72-1

Hasan, Mehedi Md; Shoombuatong, Watshara; Kurata, Hiroyuki; Manavalan, Balachandran published an article in 2021, the title of the article was Critical evaluation of web-based DNA N6-methyladenine site prediction tools.Recommanded Product: 443-72-1 And the article contains the following content:

A review. The accurate genome-wide identification of 6mA is a challenging task that leads to understanding the biol. functions. For the last 5 years, a number of bioinformatics approaches and tools for 6mA site prediction have been established, and some of them are easily accessible as web application. Nevertheless, the accurate genome-wide identification of 6mA is still one of the challenging works that lead to understanding the biol. functions. Especially in practical applications, these tools have implemented diverse encoding schemes, machine learning algorithms and feature selection methods, whereas few systematic performance comparisons of 6mA site predictors have been reported. In this review, 11 publicly available 6mA predictors evaluated with seven different species-specific datasets (Arabidopsis thaliana, Tolypocladium, Diospyros lotus, Saccharomyces cerevisiae, Drosophila melanogaster, Caenorhabditis elegans and Escherichia coli). Of those, few species are close homologs, and the remaining datasets are distant sequences. Our independent, validation tests demonstrated that Meta-i6mA and MM-6mAPred models for A. thaliana, Tolypocladium, S. cerevisiae and D. melanogaster achieved excellent overall performance when compared with their counterparts. However, none of the existing methods were suitable for E. coli, C. elegans and D. lotus. A feasibility of the existing predictors is also discussed for the seven species. Our evaluation provides useful guidelines for the development of 6mA site predictors and helps biologists selecting suitable prediction tools. Methylation of DNA N6-methyladenosine (6mA) is a type of epigenetic modification that plays pivotal roles in various biol. processes. The experimental process involved the reaction of N-Methyl-7H-purin-6-amine(cas: 443-72-1).Recommanded Product: 443-72-1

The Article related to review dna methyladenine distant sequence, dna n6-methyladenine site, machine learning, prediction model, sequence analysis, web servers, Placeholder for records without volume info and other aspects.Recommanded Product: 443-72-1

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