Research Article
Using Cluster Analysis for Protein Secondary Structure Prediction
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 4 - Issue 12 |
| Published: August 2010 |
| Authors: Amanjot Kaur, Manjot Kaur, Reet Kamal Kaur |
10.5120/877-1248
|
Amanjot Kaur, Manjot Kaur, Reet Kamal Kaur . Using Cluster Analysis for Protein Secondary Structure Prediction. International Journal of Computer Applications. 4, 12 (August 2010), 20-22. DOI=10.5120/877-1248
@article{ 10.5120/877-1248,
author = { Amanjot Kaur,Manjot Kaur,Reet Kamal Kaur },
title = { Using Cluster Analysis for Protein Secondary Structure Prediction },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 4 },
number = { 12 },
pages = { 20-22 },
doi = { 10.5120/877-1248 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Amanjot Kaur
%A Manjot Kaur
%A Reet Kamal Kaur
%T Using Cluster Analysis for Protein Secondary Structure Prediction%T
%J International Journal of Computer Applications
%V 4
%N 12
%P 20-22
%R 10.5120/877-1248
%I Foundation of Computer Science (FCS), NY, USA
Abstract
As biomedical research and healthcare continue to progress in the genomic/post genomic era, a number of important challenges and opportunities exist in the broad area of bioinformatics. In the broader context, the key challenges to bioinformatics essentially all relate to the current flood of raw data, aggregate information, and evolving knowledge arising from the study of the genome and its manifestation.
References
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- Chen Yonghui, Reilly Kevin D., Sprague Alan P., Guan Zhijie,(2006) “SEQOPTICS: a protein sequence clustering system” Symposium of Computations in Bioinformatics and Bioscience (SCBB06) in conjunction with the International Multi-Symposiums on Computer and Computational Sciences 2006 (IMSCCS|06), pp 1-5.
- Haitao Cheng, Taner Z. Sen , Robert L. Jernigan and Andrzej Kloczkowski (2005) “Consensus Data Mining (CDM) Protein Secondary Structure Prediction Server: Combining GOR V and Fragment Database Mining (FDM)” Bioinformatics journal 2007, pp 12834-12888.
- Ingrid Fischer and Thorsten Meinl (2004) “Graph Based Molecular Data Mining - An Overview” IEEE 0-7803-8566-7/04, pp 1-2.
- Eisen Michael B., Spellman Paul T., Brown Patrick O., Botstein David (1998) “Cluster analysis and display of genome-wide expression patterns” Proc. Natl. Acad. Sci. USA Vol. 95, pp. 14863–14868.
- Fraley Chris, Raftery Adrian E. (1998) “How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis” The computer journal, Vol. 41, pp 578-587.
- George Tzanis, Christos Berberidis, and Ioannis Vlahavas (2002) “Biological Data Mining” Department of Informatics, Aristotle University of Thessaloniki, Greece, pp 1-8.
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