iDNA-Methyl statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool iDNA-Methyl

Tool usage distribution map

This map represents all the scientific publications referring to iDNA-Methyl per scientific context
info info

Associated diseases


Popular tool citations

chevron_left DNA methylation prediction chevron_right
Want to access the full stats & trends on this tool?


iDNA-Methyl specifications


Unique identifier OMICS_09958
Name iDNA-Methyl
Interface Web user interface
Restrictions to use None
Input data DNA sequence(s)
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Xuan Xiao

Publication for iDNA-Methyl

iDNA-Methyl citations


A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties

Int J Mol Sci
PMCID: 5855733
PMID: 29419752
DOI: 10.3390/ijms19020511

[…] tly contains 20,236 records of 5-methyl-cytosine content data as well as 6312 records of individual patterns/profiles. MethDB has been used as a benchmark dataset by many methylation predictors, like iDNA-Methyl, Methylator, MethCGI, and so on. So, we use this dataset to test and analyze our method.We extracted DNA sequences from the MethDB to construct positive and negative datasets. The extracti […]


Genome Wide Prediction of DNA Methylation Using DNA Composition and Sequence Complexity in Human

Int J Mol Sci
PMCID: 5343954
PMID: 28212312
DOI: 10.3390/ijms18020420
call_split See protocol

[…] some were constructed more than ten years ago and others did not make their dataset publicly available. Here, we chose two recently published existing methods with accessible datasets for comparison, iDNA-Methyl [] and DeepMethyl []. For comparison with iDNA-Methyl, we downloaded its dataset (787 methylated samples and 1639 unmethylated samples) from their website ( […]


Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition

PMCID: 4510404
PMID: 26217768
DOI: 10.1016/j.dib.2015.04.021

[…] The data presented here are three benchmark datasets for training and testing iDNA-Methyl, a web-server predictor for identifying DNA methylation sites. The DNA sample was formulated by combining its trinucleotide composition (TNC) and the […]

Want to access the full list of citations?
iDNA-Methyl institution(s)
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Gordon Life Science Institute, Boston, MA, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
iDNA-Methyl funding source(s)
This work was partially supported by the National Nature Science Foundation of China (31260273 and 61261027), the Jiangxi Provincial Foreign Scientific and Technological Cooperation Project (20120BDH80023), the Natural Science Foundation of Jiangxi Province (20114BAB211013, 20122BAB211033, 20122BAB201044, and 20122BAB201020), the Department of Education of Jiangxi Province (GJJ12490), the LuoDi plan of the Department of Education of Jiangxi Province (KJLD12083), the Jiangxi Provincial Foundation for Leaders of Disciplines in Science (20113BCB22008), and the Graduated Innovation Fund of the Jingdezhen Ceramic Institute (JYC130).

iDNA-Methyl review

star_border star_border star_border star_border star_border
star star star star star


star_border star_border star_border star_border star_border
star star star star star
link is down