Nucleic Acids Research, 2003, Vol. 31, No. 1 75-77
© 2003 Oxford University Press
An improved version of the DNA methylation database (MethDB)
Institut de Génétique Humaine, CNRS UPR 1142, Laboratoire de Séquences Répétées et Centromères Humains, 141 Rue de la Cardonille, 34396 Montpellier, France 1 Friedrich-Schiller-Universität, Institut für Pathologie, Ziegenmühlenweg 1, 07743 Jena, Germany
*To whom correspondence should be addressed. Email: christoph.grunau{at}methdb.de/cgrunau{at}igh.cnrs.fr
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors
ABSTRACT
Cytosine methylation is a characteristic property of prokaryotic and eukaryotic genomes. In the latter, it is indispensable for a healthy development of the organism and uncontrolled changes in the distribution of 5-methylcytosine (5mC) have been linked to severe disorders, in particular cancer. The growing scientific interest in DNA methylation has led to a considerable amount of data about this epigenetic phenomenon. In order to make these data readily available, we have established a dedicated database. The DNA Methylation database (MethDB) is currently the only public database for DNA methylation (http://www.methdb.net). This constantly growing database has become a key resource in the field of DNA methylation research. The database contains currently methylation patterns, profiles and total methylation content data for 46 species, 160 tissues and 72 phenotypes coming from a total of 6667 experiments (as of September 4, 2002). About 14% of the data have not been published elsewhere. These data can be conveniently searched and represented in different ways. Recently, we have included an on-line submission tool that permits the scientific public to directly enter new data into MethDB.
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  X. He, S. Chang, J. Zhang, Q. Zhao, H. Xiang, K. Kusonmano, L. Yang, Z. S. Sun, H. Yang, and J. Wang MethyCancer: the database of human DNA methylation and cancer Nucleic Acids Res., January 11, 2008; 36(suppl_1): D836 - D841. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Ongenaert, L. Van Neste, T. De Meyer, G. Menschaert, S. Bekaert, and W. Van Criekinge PubMeth: a cancer methylation database combining text-mining and expert annotation Nucleic Acids Res., January 11, 2008; 36(suppl_1): D842 - D846. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. D Niculescu, K.-A. da Costa, L. M Fischer, and S. H Zeisel Lymphocyte gene expression in subjects fed a low-choline diet differs between those who develop organ dysfunction and those who do not Am. J. Clinical Nutrition, July 1, 2007; 86(1): 230 - 239. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. Nishiyama, L. Qi, M. Lacey, and M. Ehrlich Both Hypomethylation and Hypermethylation in a 0.2-kb Region of a DNA Repeat in Cancer Mol. Cancer Res., November 1, 2005; 3(11): 617 - 626. [Abstract] [Full Text] [PDF]
|
|