A New Method of Spectral Analysis of Dna/rna and Protein Sequences Extended Abstract – a Proposal for Plenary Lecture

A new methodology for the analysis of DNA/RNA and protein sequences is presented. It is based on a combined application of spectral analysis and artificial neural networks for extraction of common spectral characterization of a group of sequences that have the same or similar biological functions. The method does not rely on homology comparison and provides a novel insight into the inherent structural features of a functional group of biological sequences. The nature of the method allows possible applications to a number of relevant problems such as recognition of membership of a particular sequence to a specific functional group or localization of an unknown sequence of a specific functional group within a longer sequence. The results are of general nature and represent an attempt to introduce a new methodology to the field of biocomputing. Note Due to the space limitation we will refer in this presentation only to a small number of references and thus inevitably make injustice to many important contributions in biocomputing field. We apologize to those authors whose references are omitted.