BIO SEQUENCE DATA MINING : A SURVEY

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.