Bioinformatics Research Paper

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

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

For example, microarray technologies are used to predict a patient’s outcome. On the basis of patients’ genotypic microarray data, their survival time and risk of tumor metastasis or recurrence can be estimated. Machine learning can be used for peptide identification through mass spectroscopy. Correlation among fragment ions in a tandem mass spectrum is crucial in reducing stochastic mismatches for peptide identification by database searching. An efficient scoring algorithm that considers the correlative information in a tunable and comprehensive manner is highly desirable(Khalid