title: A comparative study for characterisation and prediction of tissue-specific DNA methylation of CpG islands in chromosomes 6, 20 and 22.
abstract: Advanced technology has enabled identification of tissue-specific methylated CpG islands of different human tissues. As methylation of CpG islands is involved in various biological phenomena and function of the DNA methylation is linked to various human diseases such as cancer, analysis of the CpG islands has become important and useful in characterising and modelling biological phenomena and understanding mechanism of such diseases. However, analysis of the data associated with the CpG islands is a quite new and challenging subject in bioinformatics, systems biology and epigenetics.
authors.affiliation: Bio-Health Informatics Research Group within the Centre for Computational Intelligence, Faculty of Technology, De Montfort University, Leicester, LE1 9BH, United Kingdom. iali@dmu.ac.uk
authors.forename: Isse
authors.initials: I
authors.lastname: Ali
authors.forename: Huseyin
authors.initials: H
authors.lastname: Seker
mesh_terms: D000465:Algorithms; D002890:Chromosomes, Human, Pair 20 / Q000235:genetics*; D002892:Chromosomes, Human, Pair 22 / Q000235:genetics*; D002896:Chromosomes, Human, Pair 6 / Q000235:genetics*; D019295:Computational Biology / Q000379:methods; D018899:CpG Islands; D004247:DNA / Q000235:genetics; D019175:DNA Methylation; D044127:Epigenesis, Genetic; D019143:Evolution, Molecular; D015894:Genome, Human; D006801:Humans
chemical_list: D004247:DNA