Clustering techniques in biological sequence analysis

Abstract

In biological sequence analysis many DNA and RNA sequences discovered in laboratory experiments are not properly identified. Here the focus is on using clustering algorithms to provide a structure to the data. The approach is inter-disciplinary using domain knowledge to identify such sequences. The enormous volume and high dimensionality of unidentified biological sequence data presents a challenge. Nonetheless useful and interesting results have been obtained, both directly and indirectly, by applying clustering to the data.