A multiple DNA sequence translation tool incorporating web robot and intelligent recommendation techniques

  • Authors:

  • Hye Ry Lee;Seung-Hee Lee;Keon Myung Lee;Chan Hee Lee

  • Affiliations:

  • School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Chungbuk, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Chungbuk, Korea;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Chungbuk, Korea;Department of Microbiology, Chungbuk National University, Cheongju, Chungbuk, Korea

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

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Abstract

With the advent of various high throughput technologies in molecular biology, the accumulated biological data grow ever rapidly. It is essential to have some bioinformatics tools to automate the analysis tasks which biologists manually carry out in order to handle such large volume of biological data. This paper presents an intelligent bioinformatics tool which has been designed and developed to acquire multiple DNA sequences at a time, to translate them into amino acid sequences and to recommend most likely ones based on the biological knowledge. The tool makes use of a web robot to collect sequence data from the NCBI web site and contains an ORF(Open Reading Frame) analyzer to determine most likely amino acid sequences.