DocumentCode :
2538673
Title :
Identify the gene positions of methylated DNA with a database approach
Author :
Bi, Wenyi ; Dunn, John ; McCorkle, Sean ; Gabriel, Reginald ; Lewis, Walter
Author_Institution :
Cheyney Univ. of Pennsylvania, Cheyney
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
1500
Lastpage :
1505
Abstract :
Determining the global pattern of DNA methylation, or the methylome and its variation in cells has become an area of considerable interest primarily because of its potential use as an early diagnostic biomarker for cancers. Genome survey techniques are now being used to identify heavily methylated regions on a massive scale and there is a need to correlate this data with focused biomedical information in a high-throughput manner. Towards this end, we present a database which combines genomic location of methylation sites, genes, CpG islands with specialized genetic-ontological resources which allow for large scale comprehensive presentations of utility to researchers.
Keywords :
DNA; biology computing; cancer; genetics; medical computing; medical information systems; molecular biophysics; ontologies (artificial intelligence); patient diagnosis; cancer biomarker diagnostic; database approach; gene positions; genetic-ontological resources; methylated DNA; Bioinformatics; Cancer; Cells (biology); DNA; Genomics; Laboratories; Medical diagnostic imaging; Neoplasms; Ontologies; Spatial databases; CpG Islands; DNA; Methylation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413572
Filename :
4413572
Link To Document :
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