Data Mining In Bioinformatics

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Biological Data and Application of Data mining in the domain of Bioinformatics

Abstract
This article gives an insight of data involved in bioinformatics and application of data mining in the domain of bioinformatics is explained. Bioinformatics and data mining are developing as interdisciplinary science. Data mining techniques seems ideally suited for bioinformatics, since bioinformatics is data-rich but lacks a complete theory of life’s organization at the molecular level[12]. However, data mining in bioinformatics is hindered by many facets of biological databases, including their size, number, diversity and the lack of a standard ontology to aid the querying of them as well as the heterogeneous data of the quality and provenance information
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Bioinformatics is the science of storing, extracting, organizing, analyzing, interpreting and utilizing information from biological sequences and molecules[10]. It has been mainly fueled by advances in DNA sequencing and mapping techniques. Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce a tremendous amount of information related to molecular biology[10]. The primary goal of bioinformatics is to increase the understanding of biological processes. Some of the grand area of research in bioinformatics…show more content…
Conclusion
We discussed few grand area of research in mining biological data. Bioinformatics is the application of computer technology to the management of biological information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied to gene-based drug discovery and development. The next level bio-informatics is re-encoding DNA sequences by Gene editing[4] (or genome editing) is the insertion, deletion or replacement of DNA at a specific site in the genome of an organism or cell. It is achieved using engineered nucleases also known as molecular scissors. A revolutionary technology is letting scientists learn to rewrite the genetic code, aiming to alter DNA in ways that, among other things, could erase disease-causing genes.

5. References
[1] Khalid Raza,(2010), Application Of Data Mining In Bioinformatics, IJSE, Vol 1 No 2, 114-118, ISSN : 0976-5166 , Pg.nos-114-118
[2] Matt Ridely,(1999), Genome The autobiography of species in 23 Chapters, Harper Collins Publishers
[3] Sequence Analysis from wikipedia – “https://en.wikipedia.org/wiki/Sequence_analysis”
[4] Gene Editing-“https://www.horizondiscovery.com/gene-editing”
[5] Pujari, Arun,(2001),Data Mining Techniques. Nancy, Universities
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