GENERIC INTELLIGENT DNA/MRNA PATTERN SEARCHING AND GLOBAL ALIGNMENT IN PROTEINS

摘要

A novel and generic method with acquired intelligence from supervised fuzzy adaptive neural network to perform an improvised query pattern search in target DNA (Deoxy-Ribo nucleic acid) or mRNA (Messenger-Ribonucleic Acid) data base and to perform global alignment of given protein sequences is provided. The training and inference capability of this methodology results with simple learning equations using a single user selection parameter which assists to understand or recognize every single training pattern of nucleotide and amino acids with minimum number of process repetitions. This methodology requires only very least number of comparisons (which is the key operation in classification) when compared with the conventional methods presently used in pattern searching and global alignment. This results in a rapid and improvised searching process with increased number of matches in sequence alignment.