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MethCGI specifications

Information


Unique identifier OMICS_09959
Name MethCGI
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No

Taxon


  • Primates
    • Homo sapiens

Maintainer


This tool is not available anymore.

Publication for MethCGI

MethCGI citations

 (3)
library_books

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

2018
Int J Mol Sci
PMCID: 5855733
PMID: 29419752
DOI: 10.3390/ijms19020511

[…] ds 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 extraction process is the same as […]

library_books

Gene expression and nucleotide composition are associated with genic methylation level in Oryza sativa

2014
BMC Bioinformatics
PMCID: 3903047
PMID: 24447369
DOI: 10.1186/1471-2105-15-23

[…] ributions of hexamer motifs that are related to transcription factor binding sites, Das and colleagues [] developed HDFINDER, which achieves 86% accuracy for the prediction of methylation levels. The MethCGI tool, developed by Fang and colleagues [], uses an SVM approach to analyze GC and CpG composition to predict methylation-prone and the methylation-resistant CpG islands. Another tool for the p […]

library_books

A novel k mer mixture logistic regression for methylation susceptibility modeling of CpG dinucleotides in human gene promoters

2012
BMC Bioinformatics
PMCID: 3311103
PMID: 22536899
DOI: 10.1186/1471-2105-13-S3-S15

[…] setting (which is the case for DNA methylation data), called "cluster_boost", was recently developed by Goh et al and used to identify novel hypermethylated genes in cancer []. Fang et al developed "MethCGI" to predict the methylation status of CpG islands using a support vector machine and both local sequence context and transcription factor binding sites []. Finally, a prediction method using D […]

Citations

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MethCGI institution(s)
Bioinformatics Division, TNLIST, Department of Automation, Tsinghua University, China

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