NDLI: Bioinformatics Approach to Discover the Relationship between Single Nucleotide Polymorphisms and Tumors

Content Provider	IEEE Xplore Digital Library
Author	Fang Rong Hsu Wen Chun Lo
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung (Fang Rong Hsu; Wen Chun Lo)
Abstract	ESTs usually are used for genes expression in a particular organ, tissue. Genetic variations may make a contribution to understand a complex disease, such as cancer. SNP is a very important resource for protein structure and function. We are interested about the relationship between SNPs and tumors in humans. In the study, bioinformatics methods are used to identify potential candidate SNPs located in tumor development by analysis of publicly available databases. The detailed result would include mismatch or gap position from AVATAR database. The gene expression profiles of normal, precancer and cancer cells were from CGAP website's libraries. Through this data, we can discover candidate tumor-SNP pairs. Some significant data (P value< 0.05) were found by using Fisher's exact test. We find 21,622 SNPs which may result in tumors. These significant tumor-SNP pairs come from 37 tissues. Furthermore, the type of SNP dependent tumor is high frequency in C-to-T.
Starting Page	611
Ending Page	615
File Size	293936
Page Count	5
File Format	PDF
ISBN	9780769533827
DOI	10.1109/ISDA.2008.363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Databases Avatars Genetic expression Humans Libraries Bioinformatics Neoplasms Cancer Diseases
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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