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