AN ALIGNMENT APPROACH TO IDENTIFY FISH WITH ENCODING HYDROACOUSTIC SIGNAL TO ACOUSTICS ALPHABET SQUENCES
1D sequence homologous alignment tool, like FastA (FASTALL)  or BLAST (Basic Local Alignment Search Tool) , has been widely used in bioinformatics field and perform elegant and fast searching for the sequences developed from the same kinds of species. In other word, it can classify through determining the homologous similarity which is not totally similar in sequences of protein sequences, structure or nucleotide sequences. An approach is proposed in this paper called AA-FAST (abbreviation for Acoustics Alphabet-FAST) which takes advantage of alignment tool and significant sequence encoding method. In this experiment, it could not only determine 4 fish species with similar size and shape but also the motion of them with identical alignment matrix. Besides, it shows that the position containing higher similarity encoding sequence fragment is related to the position of specific fish species and the acoustic features of specific fish species. Other purpose of this paper is to demonstrate how a bioinformatics tool could be applied to the acoustic field.
Ku, Shih-Yen; Lu, Hsueh-Jung; Tseng, Chi-Ting; Li, Ker-Chau; and Wu, Long-Jin
"AN ALIGNMENT APPROACH TO IDENTIFY FISH WITH ENCODING HYDROACOUSTIC SIGNAL TO ACOUSTICS ALPHABET SQUENCES,"
Journal of Marine Science and Technology: Vol. 19:
3, Article 12.
Available at: https://jmstt.ntou.edu.tw/journal/vol19/iss3/12