A new RFID and cellular automata based genetic sequence converter

Meng Hsiun Tsai, Hsin Lung Wang, Teng Yen Wu, Mu Yen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the development of computer technology, the more information is obtained from biological experiments through computer analysis, and even has helped give rise to a new kind of science called bioinformatics. The commonly used tool in bioinformatics is sequence alignment. Sequence alignment is a way of comparing the sequences to identify regions of similarity that may be a consequence of functional relationships between the sequences. The genetic code is highly similar among all organisms and can be expressed in a simple table with 64 entries. In this research, we uses cellular automata (CA) theory as the research topic instead of using traditional dotplot or dynamic programming to conduct sequence alignment. The parallel computing characteristic of cellular automata makes the future expansion model tremendously decrease the massive sequence computing costs. This research modifies the originally defined rules of cellular automata in order to make it more appropriate for amino acid sequence alignment.

Original languageEnglish
Title of host publicationFuture Information Technology - II
EditorsYi Pan, Cheonshik Kim, Yun Yang, James J. Park
PublisherSpringer Verlag
Pages19-27
Number of pages9
ISBN (Electronic)9789401795579
DOIs
Publication statusPublished - 2015
Event9th FTRA International Conference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China
Duration: 2014 May 282014 May 31

Publication series

NameLecture Notes in Electrical Engineering
Volume329
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th FTRA International Conference on Future Information Technology, FutureTech 2014
CountryChina
CityZhangjiajie
Period14-05-2814-05-31

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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