CFP last date
22 April 2024
Reseach Article

Disease-Gene Association: Tools, Techniques and Trends

Published on December 2013 by Shital Patil, Satish Kumbhar
National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 2
December 2013
Authors: Shital Patil, Satish Kumbhar
03c32df3-fe62-411a-b94c-0ac52b5046ab

Shital Patil, Satish Kumbhar . Disease-Gene Association: Tools, Techniques and Trends. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 2 (December 2013), 18-23.

@article{
author = { Shital Patil, Satish Kumbhar },
title = { Disease-Gene Association: Tools, Techniques and Trends },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 2 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 18-23 },
numpages = 6,
url = { /proceedings/ncipet2013/number2/14704-1330/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A Shital Patil
%A Satish Kumbhar
%T Disease-Gene Association: Tools, Techniques and Trends
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 2
%P 18-23
%D 2013
%I International Journal of Computer Applications
Abstract

Genetic make-up of an individual is responsible for expression of external characters. Genes express through creation of intermediate products such as amino acids and proteins in turn. Proteins structurally and functionally are responsible for causing phenotype change. Some properties like mutations in gene may cause abnormalities. This makes it necessary to relate particular gene with the diseases it caused. Essence of gene and gene product information has proven its role in many aspects of life and disease-gene association is closely concerned with it. It has got the paramount importance in many fields like genetic engineering, forensics and clinical diagnosis. The availability of essential experimental data from various genetic and protein related databases aided by state of the art computing technology has brought unforeseen revolution in the field of bioinformatics. Efforts on human genome project and GWAS (Genome Wide Association Studies) have brought radical development in sequencing and assembly. Post genomic era demands processing and usage of this valuable data in real practice to address real life scenarios. Various data mining and statistical approaches exist to address disease-gene association problem. We describe the analysis of such tools and techniques based on parameters like working principles, algorithms or methods used, speciality and limitations etc. .

References
  1. M. Y. Galperin, "The molecular biology database collection: 2006 update," Nucleic Acids Research, vol. 34, no. Database-Issue, 2006Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  2. M. A. Harris and et al (!), "The gene ontology (GO) database and informatics resource," Nucleic Acids Res. , vol. 32, pp. D258–D261, Jan. 2004
  3. M. A. Harris and et al (!), "The gene ontology (GO) database and informatics resource," Nucleic Acids Res. , vol. 32, pp. D258–D261, Jan. 2004.
  4. N. ria LoA pez Bigas and C. A, "Genome-wide identification of genes likely to be involved in human genetic disease. "
  5. E. -W. A. Smith NGC, ": Human disease genes: patterns and predictions. "2003.
  6. Y. Freund and L. Mason, "The alternating decision tree learning algorithm," in Proc. 16th International Conf. on Machine Learning. Morgan Kaufmann, San Francisco, CA, 1999, pp. 124–133.
  7. G. Casella and R. L. Berger, "Statistical inference, 2nd ed. belmont,. " Belmont, CA:Duxbury Press, 2002.
  8. ] S. Damian, H. Syed, B. Benoit, H. Richard, L. Darin, T. Gudmundur, and K. Arek, "Biomart – biological queries made easy," 2009
Index Terms

Computer Science
Information Sciences

Keywords

Phenotype Genetic Engineering Forensics Gwas.