DNA-protein interactions data analysis software tools

DNA methylation is an epigenetic mechanism where a methyl group is added to cytosines placed in CG dinucleotides (CpGs). This process regulates cellular gene expression and is responsible for biological processes such as X chromosome inactivation. Disruption of the methylation pattern can lead to diseases such as cancer (Kulis et al., 2010; Hassler et al., 2012) or diabetes (Maria et al., 2014; Enquobahrie et al., 2015). DNA methylation can be modified by environmental exposures (e.g. smoking (Steenaard et al., 2015; Simpkin et al., 2015; Joubert et al., 2016)) so it is becoming a common tool in epidemiological studies.

(Kulis et al., 2010) DNA Methylation and Cancer. Adv Genet.
(Hassler et al., 2012) Epigenomics of cancer - emerging new concepts. Biochimie.
(Maria et al., 2014) Type 2 diabetes mellitus in relation to global LINE-1 DNA methylation in peripheral blood: a cohort study. Epigenetics.
(Enquobahrie et al., 2015) Early pregnancy maternal blood DNA methylation in repeat pregnancies and change in gestational diabetes mellitus status—a pilot study. Reprod Sci.
(Steenaard et al., 2015) Tobacco smoking is associated with methylation of genes related to coronary artery disease. Clin Epigenetics.
(Simpkin et al., 2015) Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies. Hum Mol Genet.
(Joubert et al., 2016) DNA methylation in newborns and maternal smoking in pregnancy: genome-wide consortium meta-analysis. Am J Hum Genet.

Source text:
(Ruiz-Arenas and González, 2017) Redundancy analysis allows improved detection of methylation changes in large genomic regions. BMC Bioinformatics.

DNA-Protein interactions

Unclassified tools