BIO SEQUENCE DATA MINING : A SURVEY
Main Article Content
Article Sidebar
Abstract
The rapid progress of biotechnology and biodata analysis methods has led to the emergence and fast growth of a promising field Bioinformatics.  Bioinformatics  is the sci- ence of collecting and analyzing complex biological data. More specifically it is the science of managing, mining integrating and interpreting information from biological data at genomic, proteomic, transcriptomic and metabalomic levels. Data mining or knowledge discovery from data (KDD), in its most fundamen- tal form, is to extract interesting nontrivial implicit previously unknown and potentially useful information from data. Therefore the scenario  is to bridge this two fields, data mining and bioinformatics, for the successful mining of biological data. In this paper, we present an overview of data mining studies that help biodata analysis and also surveys on some algorithms that may motivates the further development of data mining tools for the taming of various kinds of biological data.
Article Details
COPYRIGHT AGREEMENT AND AUTHORSHIP RESPONSIBILITY
 All paper submissions must carry the following duly signed by all the authors:
“I certify that I have participated sufficiently in the conception and design of this work and the analysis of the data (wherever applicable), as well as the writing of the manuscript, to take public responsibility for it. I believe the manuscript represents valid work. I have reviewed the final version of the manuscript and approve it for publication. Neither has the manuscript nor one with substantially similar content under my authorship been published nor is being considered for publication elsewhere, except as described in an attachment. Furthermore I attest that I shall produce the data upon which the manuscript is based for examination by the editors or their assignees, if requested.â€