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Bioinformatics: An Application of Data Mining

O. Yamini1 , S. Ramakrishna2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-06 , Page no. 41-45, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si6.4145

Online published on Mar 20, 2019

Copyright © O. Yamini, S. Ramakrishna . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: O. Yamini, S. Ramakrishna, “Bioinformatics: An Application of Data Mining,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.06, pp.41-45, 2019.

MLA Style Citation: O. Yamini, S. Ramakrishna "Bioinformatics: An Application of Data Mining." International Journal of Computer Sciences and Engineering 07.06 (2019): 41-45.

APA Style Citation: O. Yamini, S. Ramakrishna, (2019). Bioinformatics: An Application of Data Mining. International Journal of Computer Sciences and Engineering, 07(06), 41-45.

BibTex Style Citation:
@article{Yamini_2019,
author = {O. Yamini, S. Ramakrishna},
title = {Bioinformatics: An Application of Data Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {07},
Issue = {06},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {41-45},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=865},
doi = {https://doi.org/10.26438/ijcse/v7i6.4145}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.4145}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=865
TI - Bioinformatics: An Application of Data Mining
T2 - International Journal of Computer Sciences and Engineering
AU - O. Yamini, S. Ramakrishna
PY - 2019
DA - 2019/03/20
PB - IJCSE, Indore, INDIA
SP - 41-45
IS - 06
VL - 07
SN - 2347-2693
ER -

           

Abstract

One of the foremost active areas of inferring structure and principles of biological datasets is that the use of knowledge mining to resolve biological issues. Some typical samples of biological analysis performed by data processing involve supermolecule structure prediction; cistron Classification, analysis of mutations in cancer and cistron expressions. Over recent years the studies in proteomic, genetics Associate in Nursing the varied different biological researches has generated a progressively great deal of biological knowledge. Drawing conclusions from this knowledge needs subtle machine analysis so as to interpret the information. As biological data and research become ever vaster, it is important that the application of data mining progresses in order to continue the development of an active area of research within Bioinformatics. This aims to draw information from varied academic sources in order to discuss an overview of data mining, Bioinformatics, the application of data mining in Bioinformatics and a conclusive summary.

Key-Words / Index Term

Data Mining, Data Mining Techniques, Bioinformatics

References

[1]. Data Mining For Bioinformatic Applications, Zengyou Heengyou, ISBN: 978-0-08-100100-4 2015.
[2]. Application Of Data Mining In Bioinformatics, Khalid Raza, Indian Journal Of Computer Science And Engineering Vol 1 No 2, 114-118, ISSN : 0976-5166
[3]. Data Mining in Bioinformatics (BIOKDD), Mohammed J Zaki, 1 George Karypis,2 and Jiong Yang3, Published online 2007 Apr 11. doi: 10.1186/1748-7188-2-4
[4]. An Introduction Into Data Mining In Bioinformatics, Ryan Littlefield, Apr 11,2017
[5]. Comparative Analysis Of Data Mining Techniques On Education Dataset, Sumit Garg, Arvind K. Sharma, International Journal Of Computer Applications(0975-8887), Vol 74- No.5, July 2013
[6]. Jiawei Han and Micheline Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, CA, 2005.
[7]. Exploiting Data Mining Techniques For Improving The Efficiency Of Time Series Data Using Spss-Clementine, Pushpalata Pujari, Jyoti Bala Gupta, Researchers World- Journal Of Arts, Science & Commerce ■ E-ISSN 2229-4686 ■ ISSN 2231-4172
[8]. Bioinformatics methods to predict protein structure and function. A practical approach, Edwards YJ1, Cottage A., Mol Biotechnol. 2003 Feb;23(2):139-66. https://www.ncbi.nlm.nih.gov/pubmed/12632698